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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Gorgan University of Agricultural Sciences</PublisherName>
				<JournalTitle>International Journal of Plant Production</JournalTitle>
				<Issn>1735-6814</Issn>
				<Volume>11</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Response of different species of Brassica to water deficit</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>16</LastPage>
			<ELocationID EIdType="pii">3306</ELocationID>
			
<ELocationID EIdType="doi">10.22069/ijpp.2017.3306</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>F.</FirstName>
					<LastName>Rashidi</LastName>
<Affiliation>MSc of Plant Breeding, Department of Agronomy and Plant Breeding, College of Agriculture, Isfahan University of Technology,
Isfahan, 84156-8311, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Mahdi</FirstName>
					<LastName>Majidi</LastName>
<Affiliation>Isfahan University of Technology</Affiliation>

</Author>
<Author>
					<FirstName>M.</FirstName>
					<LastName>Pirboveiry</LastName>
<Affiliation>MSc student of Plant Breeding, Department of Agronomy and Plant Breeding, College of Agriculture, Isfahan University of
Technology, Isfahan, 84156-8311, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;Development of drought-tolerant cultivars is hampered by a lack of effective selection&lt;br /&gt;criteria. In this research, response of 36 genotypes of rapeseed from seven species of Brassica&lt;br /&gt;including &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;B. napus, B. rapa, B. juncea, B. carinata, B. oleracea, B. nigra and B. fruticulosa &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;was&lt;br /&gt;assessed under three moisture levels (no stress, mild stress and intense stress) in the field during&lt;br /&gt;2011-2012. Five drought-tolerance indices were calculated: stress tolerance (TOL), stress&lt;br /&gt;susceptibility index (SSI), mean productivity (MP), geometric mean productivity (GMP) and&lt;br /&gt;stress tolerance index (STI). Increasing water stress levels caused significantly more reductions&lt;br /&gt;in the seed yield of all species. Species &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;B. napus &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;had the highest yields in normal and intense&lt;br /&gt;stress conditions while &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;B. carinata &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;showed better performance in mild stress condition.&lt;br /&gt;Correlation coefficients revealed that among drought tolerance indices, GMP, STI and MP are&lt;br /&gt;superior criteria for selecting high-yield genotypes under stress and non-stress conditions.&lt;br /&gt;&lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;B. napus &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;and &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;B. carinata &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;were the most drought tolerant while &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;B. rapa &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;and &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;B. oleracea &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;were the&lt;br /&gt;most susceptible species of Brassica based on yield potential. Application of principle&lt;br /&gt;component analysis (PCA) for distinguishing drought and susceptible species are discussed.&lt;br /&gt;&lt;/span&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Brassica</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">soil moisture</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Drought tolerance</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">principle component analysis</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijpp.gau.ac.ir/article_3306_4a4e6738586e506630cdab5caee99383.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Gorgan University of Agricultural Sciences</PublisherName>
				<JournalTitle>International Journal of Plant Production</JournalTitle>
				<Issn>1735-6814</Issn>
				<Volume>11</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Sowing time and irrigation scheduling effects on seed yield and fatty acids profile of sunflower in semi-arid climate</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>17</FirstPage>
			<LastPage>32</LastPage>
			<ELocationID EIdType="pii">3307</ELocationID>
			
<ELocationID EIdType="doi">10.22069/ijpp.2017.3307</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>C.</FirstName>
					<LastName>Patanè</LastName>
<Affiliation>CNR-Istituto per la Valorizzazione del Legno e delle Specie Arboree (IVALSA), UOS di Catania, Via P. Gaifami
18, 95126 Catania (Italy).</Affiliation>

</Author>
<Author>
					<FirstName>S.L.</FirstName>
					<LastName>Cosentino</LastName>
<Affiliation>Dipartimento di Agricoltura, Alimentazione e Ambiente (Di3A), Università degli Studi di Catania, Via Valdisavoia 5, 95123 Catania (Italy)</Affiliation>

</Author>
<Author>
					<FirstName>U.</FirstName>
					<LastName>Anastasi</LastName>
<Affiliation>Dipartimento di Agricoltura, Alimentazione e Ambiente (Di3A), Università degli Studi di Catania, Via Valdisavoia 5, 95123 Catania (Italy)</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;A research was conducted in Southern Italy to study the changes in seed yield, oil content and&lt;br /&gt;fatty acids composition, in response to irrigation at different stages of growing season (at sowing,&lt;br /&gt;Dry; from sowing to beginning of flowering, S-BF; from visible bud to 75% flowering, VB-FF;&lt;br /&gt;from beginning of flowering to seed ripening, BF-M; from sowing to seed ripening, Full), in a&lt;br /&gt;standard sunflower hybrid sown at normal (April) and late (June) time. High seed yield and oil&lt;br /&gt;content combination resulted in the significantly greatest oil yield in ‘Full’ water regime. MUFAs&lt;br /&gt;(mostly oleic acid) were higher in late sowing and they benefit from good soil water availability&lt;br /&gt;of ‘Full’ regime. Contrastingly, PUFAs (&lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;i.e&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;. linoleic acid content), higher in late season, was&lt;br /&gt;depressed by good soil availability during the early growing season (S-BF and S-M regimes).&lt;br /&gt;Irrigation at critical stages (&lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;i.e. &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;flowering) may alleviate the negative impact of water stress upon&lt;br /&gt;crop productivity and oil fatty acids composition, resulting in yield and oil quality benefits&lt;br /&gt;besides a water saving. Late sowings allow cultivating sunflower as a catch crop, with an&lt;br /&gt;increased economic and environmental sustainability of Mediterranean farming systems.&lt;/span&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Helianthus annuus L</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Sowing time</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Deficit irrigation</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijpp.gau.ac.ir/article_3307_ec848fb70c14de997dcd07fbd84bc5a2.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Gorgan University of Agricultural Sciences</PublisherName>
				<JournalTitle>International Journal of Plant Production</JournalTitle>
				<Issn>1735-6814</Issn>
				<Volume>11</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>The effect of water deficiency and salinity on the growth and quality of fresh dill (Anethum graveolens L.) during autumn and spring cultivation</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>33</FirstPage>
			<LastPage>46</LastPage>
			<ELocationID EIdType="pii">3308</ELocationID>
			
<ELocationID EIdType="doi">10.22069/ijpp.2017.3308</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>D.</FirstName>
					<LastName>Tsamaidi</LastName>
<Affiliation>Agricultural University of Athens, Laboratory of Vegetable Production, Iera Odos 75, 11855 Athens, Greece</Affiliation>

</Author>
<Author>
					<FirstName>D.</FirstName>
					<LastName>Daferera</LastName>
<Affiliation>Agricultural University of Athens, Laboratory of Vegetable Production, Iera Odos 75, 11855 Athens, Greece</Affiliation>

</Author>
<Author>
					<FirstName>I.C.</FirstName>
					<LastName>Karapanos</LastName>
<Affiliation>Agricultural University of Athens, Laboratory of Vegetable Production, Iera Odos 75, 11855 Athens, Greece</Affiliation>

</Author>
<Author>
					<FirstName>H.C.</FirstName>
					<LastName>Passam</LastName>
<Affiliation>Agricultural University of Athens, Laboratory of Vegetable Production, Iera Odos 75, 11855 Athens, Greece</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;The aim of this experiment was to determine the response of dill (&lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Anethum graveolens &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;L.) to&lt;br /&gt;water deficiency and salinity. In spring, dill biomass decreased with increasing water deficiency&lt;br /&gt;due to a reduction in the number and mean weight of leaves per plant. The concentrations of&lt;br /&gt;chlorophyll, carotenoids, vitamin C and total phenolics within the leaves were unaffected by&lt;br /&gt;water stress, but the Cl, Na and K content decreased. Salinity had no effect on plant growth in&lt;br /&gt;the spring, except at the highest level (8 dS/m&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;-1&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;), where a decrease in biomass occurred. The&lt;br /&gt;chlorophyll and total phenolics content of leaves rose in the autumn with increasing salinity,&lt;br /&gt;whereas vitamin C and carotenoids were unaffected. In spring, increasing salinity caused&lt;br /&gt;fluctuations in the chlorophyll and vitamin C content of the leaves and a decrease in total&lt;br /&gt;phenolics. The concentrations of chlorophyll and antioxidants were higher in spring than in&lt;br /&gt;autumn at all levels of salinity. The essential oil content was also higher in the spring than in the&lt;br /&gt;autumn, irrespective of salinity. A relative decrease in dill ether within the herb oil under&lt;br /&gt;increasing salinity was compensated for by an increase in α-phellandrene. In the flower oil,&lt;br /&gt;increasing salinity caused a decrease in the relative concentrations of both α-phellandrene and&lt;br /&gt;dill ether, which was compensated for by an increase in carvone. Overall, dill appears more&lt;br /&gt;resistant to salinity than to water stress, but the season of cultivation has the most important&lt;br /&gt;effect on both yield and quality.&lt;/span&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Biomass</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">chlorophyll</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Carotenoids</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Vitamin C</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Phenolics</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijpp.gau.ac.ir/article_3308_14585acfd83b7b0294b887c1049875ff.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Gorgan University of Agricultural Sciences</PublisherName>
				<JournalTitle>International Journal of Plant Production</JournalTitle>
				<Issn>1735-6814</Issn>
				<Volume>11</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>The Impact of Climate Change on Yield Potential of Maize across China</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>47</FirstPage>
			<LastPage>63</LastPage>
			<ELocationID EIdType="pii">3309</ELocationID>
			
<ELocationID EIdType="doi">10.22069/ijpp.2017.3309</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>X.</FirstName>
					<LastName>Xu</LastName>
<Affiliation>State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographical Sciences and Natural
Resources Research, Chinese Academy of Sciences, Beijing 100101, China.</Affiliation>

</Author>
<Author>
					<FirstName>L.</FirstName>
					<LastName>Wang</LastName>
<Affiliation>State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographical Sciences and Natural
Resources Research, Chinese Academy of Sciences, Beijing 100101, China.</Affiliation>

</Author>
<Author>
					<FirstName>D.</FirstName>
					<LastName>Sun</LastName>
<Affiliation>The University of Adelaide Business School, Adelaide, Australia.</Affiliation>

</Author>
<Author>
					<FirstName>L.</FirstName>
					<LastName>Liu</LastName>
<Affiliation>State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographical Sciences and Natural
Resources Research, Chinese Academy of Sciences, Beijing 100101, China.</Affiliation>

</Author>
<Author>
					<FirstName>K.E.</FirstName>
					<LastName>Banson</LastName>
<Affiliation>The University of Adelaide Business School, Adelaide, Australia.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;Maize is one of the major crops in China and its yield potential has been changed&lt;br /&gt;significantly by climate change induction during last five decades. The national policy of maize&lt;br /&gt;production sufficiency emphasizes the necessity for a more accurate estimation of yield&lt;br /&gt;potential of maize at a national level. In this paper yield potential of maize was calculated using&lt;br /&gt;the Global Agro-Ecological Zones (GAEZ) model and key meteorological factors impact on&lt;br /&gt;yield potential across China was also analyzed. The results shows that, total yield potential of&lt;br /&gt;maize increased by 0.15 million tons/year during the past five decades due to an increase in&lt;br /&gt;cultivated area as a result of climate change impact. The partial correlation analysis between&lt;br /&gt;main meteorological factors and yield potential of maize at a county level showed that 47% of&lt;br /&gt;the counties of China were predominately influenced by changes in solar radiation while 16% of&lt;br /&gt;counties were predominately affected by temperature changes. In addition, each agricultural&lt;br /&gt;zone showed clear spatial difference in the distribution of key impact factors. These research&lt;br /&gt;findings will not only provide scientific basis for making good use of meteorological resources&lt;br /&gt;under climate change, but also play a vital role for the management of national maize&lt;br /&gt;production for food security.&lt;/span&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Climate Change</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">maize</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Yield potential</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">GAEZ model</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Maize production</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Cropping pattern</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijpp.gau.ac.ir/article_3309_c251aa86bb75e730a03850061038f0f3.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Gorgan University of Agricultural Sciences</PublisherName>
				<JournalTitle>International Journal of Plant Production</JournalTitle>
				<Issn>1735-6814</Issn>
				<Volume>11</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Economic and environmental impacts of introducing grain legumes in farming systems of Midi-Pyrenees region (France): A simulation approach</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>65</FirstPage>
			<LastPage>87</LastPage>
			<ELocationID EIdType="pii">3310</ELocationID>
			
<ELocationID EIdType="doi">10.22069/ijpp.2017.3310</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>F.</FirstName>
					<LastName>Mahmood</LastName>
<Affiliation>Department of Environmental Sciences and Engineering, Government College University, Faisalabad-38000, Pakistan</Affiliation>

</Author>
<Author>
					<FirstName>H.</FirstName>
					<LastName>Belhouchette</LastName>
<Affiliation>CIHEAM-Institute Agronomique Mediterraneen de Montpellier (IAMM), Montpellier-34090, France.</Affiliation>

</Author>
<Author>
					<FirstName>W.</FirstName>
					<LastName>Nasim</LastName>
<Affiliation>CIHEAM-Institute Agronomique Mediterraneen de Montpellier (IAMM), Montpellier-34090, France.</Affiliation>

</Author>
<Author>
					<FirstName>T.</FirstName>
					<LastName>Shahzad</LastName>
<Affiliation>Department of Environmental Sciences and Engineering, Government College University, Faisalabad-38000, Pakistan</Affiliation>

</Author>
<Author>
					<FirstName>S.</FirstName>
					<LastName>Hussain</LastName>
<Affiliation>Department of Environmental Sciences and Engineering, Government College University, Faisalabad-38000, Pakistan</Affiliation>

</Author>
<Author>
					<FirstName>O.</FirstName>
					<LastName>Therond</LastName>
<Affiliation>INRA - UMR 1248 Agir, F-31320 Castanet Tolosan, France.</Affiliation>

</Author>
<Author>
					<FirstName>S.</FirstName>
					<LastName>Fahad</LastName>
<Affiliation>College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, China</Affiliation>

</Author>
<Author>
					<FirstName>S.</FirstName>
					<LastName>Refat Sultana</LastName>
<Affiliation>Department of Environmental Sciences, COMSATS Institute of Information Technology (CIIT), Vehari-61100, Pakistan.</Affiliation>

</Author>
<Author>
					<FirstName>J.</FirstName>
					<LastName>Wery</LastName>
<Affiliation>SupAgro Montpellier UMR-System, Bat. 27, 2 Place Viala, Montpellier-34060, France</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;The reconciliation of economy and environment is a key factor in achieving sustainability.&lt;br /&gt;The European Union wishes to achieve the sustainability of its agriculture in order to produce&lt;br /&gt;high quality food materials and to manage energy crisis and the risks related to climate and&lt;br /&gt;market fluctuations. These risks can be mitigated by reducing negative impacts of agricultural&lt;br /&gt;activities on the environment. Therefore, this study was designed to derive and promote the&lt;br /&gt;potential tools to increase the land area under grain legumes in Midi-Pyrenees region (France)&lt;br /&gt;where it currently stands at only 1 to 3%. For this purpose modeling chain APES-FSSIMIndicator was used to assess different alternative scenarios of proposition of new grain legumesbased cereals rotations, provision of higher premium on grain legumes, increase in sale price&lt;br /&gt;and yield of grain legumes, reduction in price and yield variability of grain legumes and&lt;br /&gt;combination of all these scenarios. Results showed that alternative scenario of provision of more&lt;br /&gt;premiums on grain legumes was more efficient in increasing the grain legume area than other&lt;br /&gt;alternative scenarios, but this would require a level of subsidies much higher than the current&lt;br /&gt;crop-specific subsidies in EU. However, in case of combination of all these scenarios, the&lt;br /&gt;increase in grain legumes area was maximum for all three selected farms from the study area.&lt;br /&gt;In addition farm income was increased by 11 to 26% and energy consumption was decreased by&lt;br /&gt;4 to 9% for the selected farms. It is concluded that grain legumes area in Midi-Pyrenees farming&lt;br /&gt;systems can be increased by following the above mentioned alternative strategies&lt;/span&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Alternative scenarios</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Cropping systems</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Crop model</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Bio-economic model</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Sustainability indicators</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijpp.gau.ac.ir/article_3310_51045a763d923f8b5a2775af4a6ac8a8.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Gorgan University of Agricultural Sciences</PublisherName>
				<JournalTitle>International Journal of Plant Production</JournalTitle>
				<Issn>1735-6814</Issn>
				<Volume>11</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Stimulated fine root growth benefits maize nutrient uptake under optimized nitrogen management</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>89</FirstPage>
			<LastPage>100</LastPage>
			<ELocationID EIdType="pii">3311</ELocationID>
			
<ELocationID EIdType="doi">10.22069/ijpp.2017.3311</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>X.</FirstName>
					<LastName>Zeng</LastName>
<Affiliation>Institute of Protected Agriculture, Chinese Academy of Agricultural Engineering, Beijing 100125, China</Affiliation>

</Author>
<Author>
					<FirstName>Y.</FirstName>
					<LastName>Peng</LastName>
<Affiliation>Key Laboratory of Plant-Soil Interactions, MOE, Center for Resources, Environment and Food Security, College of Resources and
Environmental Science, China Agricultural University, Beijing 100193, China.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;Optimized nitrogen (N) management reduces total N application without sacrificing crop&lt;br /&gt;yield. However, the underlining mechanisms have not been well investigated, especially lacking&lt;br /&gt;the evidence from roots. Here we performed a two-year field experiment with maize grown&lt;br /&gt;under zero-N, conventional N and optimized N applications and examined grain yield, N,&lt;br /&gt;phosphorous (P) and potassium (K) uptake and root length in diverse diameter classes. Results&lt;br /&gt;showed that both conventional N and optimized N managements significantly increased plant&lt;br /&gt;nutrient contents and grain yield compared with zero-N treatment, but no obvious difference&lt;br /&gt;was observed between the two N-fertilized treatments. Notably, the response of different&lt;br /&gt;nutrients to N application was not synchronous temporally over the growth period, following&lt;br /&gt;the order of N first, P second and K last. Though N application generally had minor impact on&lt;br /&gt;total root length and root biomass, optimized N regime significantly increased fine root&lt;br /&gt;(diameter ≤ 0.2 mm) length compared with conventional N at the eighth leaf emerged stage. The&lt;br /&gt;stimulated fine root growth under optimized N management is beneficial for adequate N uptake&lt;br /&gt;during the key growth stage, which determines subsequent PK acquisition and final crop yield.&lt;br /&gt;Our findings highlight the importance of fine roots in maize NPK uptake and a better&lt;br /&gt;understanding of the response of fine roots to changes in N availability may therefore be critical&lt;br /&gt;for optimizing N input in maize farming system&lt;/span&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Root length</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Phosphorous (P)</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Potassium (K)</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Leaf area</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Grain yield</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Zea mays L</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijpp.gau.ac.ir/article_3311_a3df68be79776431988450103a7f4ddc.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Gorgan University of Agricultural Sciences</PublisherName>
				<JournalTitle>International Journal of Plant Production</JournalTitle>
				<Issn>1735-6814</Issn>
				<Volume>11</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Evaluation of grain sorghum (Sorghum bicolor L.) lines/cultivars under salinity stress using tolerance indices</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>101</FirstPage>
			<LastPage>115</LastPage>
			<ELocationID EIdType="pii">3312</ELocationID>
			
<ELocationID EIdType="doi">10.22069/ijpp.2017.3312</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>E.</FirstName>
					<LastName>Shakeri</LastName>
<Affiliation>Department of Crop Production and Plant Breeding, College of Agriculture, Shiraz University, Shiraz Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Yahya</FirstName>
					<LastName>Emam</LastName>
<Affiliation>Dep of Agronomy and Plant Breeding, Shiraz University</Affiliation>

</Author>
<Author>
					<FirstName>S.A.</FirstName>
					<LastName>Tabatabaei</LastName>
<Affiliation>Associate Professor, Seed and Plant Improvement Research Department, Yazd Agricultural and Natural Resources and Education
Center, AREEO, Yazd , Iran.</Affiliation>

</Author>
<Author>
					<FirstName>A.R.</FirstName>
					<LastName>Sepaskhah</LastName>
<Affiliation>Department of Water Engineering, College of Agriculture, Shiraz University, Shiraz, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;Selecting and cultivating the crops/varieties that can tolerate water salinity is potentially an&lt;br /&gt;important strategy to save fresh water resources and maximize the crop yield in salt affected areas.&lt;br /&gt;To evaluate the responses of 36 sorghum lines and cultivars to salinity stress, two field&lt;br /&gt;experiments were conducted in non-stress (EC=2 dS/m) and salinity stress conditions (EC=12&lt;br /&gt;dS/m) using randomized complete block design with three replications. The field experiments&lt;br /&gt;were carried out at research station of Agricultural Research Center and Natural Resources of&lt;br /&gt;Yazd, Iran in 2014 and 2015 growing seasons. Under salinity stress conditions, grains/panicle,&lt;br /&gt;panicle length, 1000 grain weight, grain yield, biological yield and harvest index were decreased&lt;br /&gt;36%, 15%, 42%, 64%, 40% and 39%, respectively. The highest grain yield under non-stress&lt;br /&gt;conditions was produced by KDFGS2 (8182.6 kg/ha) while the highest grain yield under salinity&lt;br /&gt;stress conditions was achieved by KDFGS6 (3310 kg/ha). Correlation coefficients between grain&lt;br /&gt;yield (for both conditions) and tolerance indices showed that geometric mean productivity (GMP),&lt;br /&gt;stress tolerance index (STI) and harmonic mean (HAM) indices were appropriate for screening&lt;br /&gt;high-yielding genotypes. Principal component analysis validated the results of screening methods&lt;br /&gt;and introduced lines number 1, 7 and 9 as superior genotypes under both conditions. Lines number&lt;br /&gt;2, 8, 15, 19, 29 and cultivars Ghalami-Herat, Sepideh and Kimia showed greater sensitivity to&lt;br /&gt;salinity stress. Since lines number 4, 6, 10 and 24 had greater yield stability, it appears that they&lt;br /&gt;may worth further explorations in future breeding projects.&lt;/span&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Principal component analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Sorghum</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Tolerance indices</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijpp.gau.ac.ir/article_3312_a9fd84a0e96eba8e0419fb3063880f40.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Gorgan University of Agricultural Sciences</PublisherName>
				<JournalTitle>International Journal of Plant Production</JournalTitle>
				<Issn>1735-6814</Issn>
				<Volume>11</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Farmers' perceptions on improved bread wheat varieties and formal seed supply in Ethiopia</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>117</FirstPage>
			<LastPage>130</LastPage>
			<ELocationID EIdType="pii">3313</ELocationID>
			
<ELocationID EIdType="doi">10.22069/ijpp.2017.3313</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Z.</FirstName>
					<LastName>Bishaw</LastName>
<Affiliation>Seed Section, ICARDA, P.O. Box 5466, Aleppo, Syria.</Affiliation>

</Author>
<Author>
					<FirstName>D.</FirstName>
					<LastName>Alemu</LastName>
<Affiliation>EIAR, Addis Abeba, Ethiopia</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;The paper presents smallholder farmers&#039; perceptions on attributes of bread wheat varieties&lt;br /&gt;based on primary data collected from 524 households in four major wheat growing areas of&lt;br /&gt;Ethiopia. The results indicated high value of attainment indices for improved varieties compared&lt;br /&gt;to landraces, which shows how the demanded attributes are embodied more in improved ones.&lt;br /&gt;Grain yield and yellow and stem rust resistance are attributes that are desired most compared to&lt;br /&gt;others. However, there is high variability in attainment indices among improved varieties for the&lt;br /&gt;different attributes, which suggests the need to target varieties for the different environments&lt;br /&gt;including disease and drought tolerance. The results also showed inconsistency between the&lt;br /&gt;value of attainment indices of varieties and the amount of seed supplied by the formal sector,&lt;br /&gt;which resulted in mismatch between demand and supply leading to considerable carryover seed.&lt;br /&gt;The formal sector needs to consider diversifying its bread wheat varietal portfolio and increase&lt;br /&gt;its capacity for seed supply to respond to emerging challenges and effectively address farmers’&lt;br /&gt;preferences.&lt;/span&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Attainment indices</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Farmers’ perception</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Formal seed system</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Varietal attributes</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Wheat</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijpp.gau.ac.ir/article_3313_54cf9ba75807b287b49ce17156a8df5d.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Gorgan University of Agricultural Sciences</PublisherName>
				<JournalTitle>International Journal of Plant Production</JournalTitle>
				<Issn>1735-6814</Issn>
				<Volume>11</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Long-term tillage and residue management effect on soil compaction and nitrate leaching in a Typic Haploxerert soil</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>131</FirstPage>
			<LastPage>149</LastPage>
			<ELocationID EIdType="pii">3314</ELocationID>
			
<ELocationID EIdType="doi">10.22069/ijpp.2017.3314</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>I.</FirstName>
					<LastName>Celik</LastName>
<Affiliation>Cukurova University, Faculty of Agriculture, Department of Soil Science and Plant Nutrition, Adana, Turkey.</Affiliation>

</Author>
<Author>
					<FirstName>H.</FirstName>
					<LastName>Günal</LastName>
<Affiliation>Gaziosmanpaşa University, Faculty of Agriculture, Department of Soil Science and Plant Nutrition. Tokat, Turkey.</Affiliation>

</Author>
<Author>
					<FirstName>M.</FirstName>
					<LastName>Acar</LastName>
<Affiliation>Cukurova University, Faculty of Agriculture, Department of Soil Science and Plant Nutrition, Adana, Turkey.</Affiliation>

</Author>
<Author>
					<FirstName>M.</FirstName>
					<LastName>Gök</LastName>
<Affiliation>Cukurova University, Faculty of Agriculture, Department of Soil Science and Plant Nutrition, Adana, Turkey.</Affiliation>

</Author>
<Author>
					<FirstName>Z.</FirstName>
					<LastName>Bereket Barut</LastName>
<Affiliation>Cukurova University, Faculty of Agriculture, Department of Agricultural Machinery and Technologies Engineering, 01330 Adana, Turkey.</Affiliation>

</Author>
<Author>
					<FirstName>H.</FirstName>
					<LastName>Pamiralan</LastName>
<Affiliation>Cukurova University, Faculty of Agriculture, Department of Soil Science and Plant Nutrition, Adana, Turkey.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;A field experiment was conducted to compare the effects of long-term tillage and crop&lt;br /&gt;residue management on some physical properties and nitrate leaching of a Typic Haploxerert&lt;br /&gt;soil under winter wheat (&lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Triticum vulgare &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;L.)-soybean (&lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Glycine max &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;L.) double-cropping&lt;br /&gt;system. The tillage systems consisted of conventional tillage with stubble (CT1), conventional&lt;br /&gt;tillage with stubbles burned (CT2), heavy disc harrow reduced tillage (RT1), rototiller reduced&lt;br /&gt;tillage (RT2), reduced tillage with heavy tandem disc harrow fallowed by no-tillage (RNT) and&lt;br /&gt;no-till (NT). Each tillage method applied at 480 m&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;2 &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;plot and replicated three times in randomly&lt;br /&gt;distributed plots. In the experiment, organic matter content (OM), aggregate stability (AS),&lt;br /&gt;penetration resistance (PR), porosity, bulk density (BD) in 0-15 cm and 15-30 cm depth and&lt;br /&gt;nitrate concentrations at 90 cm depth were determined. Tillage practices significantly affected&lt;br /&gt;the measured properties at both soil depths. The BD and PR within the conservational managed&lt;br /&gt;plots were higher than under conventional managed plot. Whereas, OM content and AS were&lt;br /&gt;significantly greater under conservational managed plots, indicating improved soil quality.&lt;br /&gt;Soybean yield was not affected by tillage practices. The concentrations of NO&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;3&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;-N leached had&lt;br /&gt;strong variation within sampling dates and significantly different among treatments after the&lt;br /&gt;first and the third irrigation (P˂0.01). The highest average NO&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;3&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;-N (1440.8b±74.9 mg L&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;-1&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;) in&lt;br /&gt;leachate was measured in the CT2 plot while the lowest value (774.8a±56.5 mg L&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;-1&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;) was&lt;br /&gt;obtained in the RT1 plot. The results of this study revealed that reduced tillage and no-till&lt;br /&gt;treatments could significantly improve soil physical quality and reduce NO&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;3&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;-N leaching of&lt;br /&gt;Typic Haploxerert soil in the Çukurova Region&lt;/span&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Mediterranean</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Conventional</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Conservative</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">No-till</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Compaction</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Nitrate leaching</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijpp.gau.ac.ir/article_3314_b66bc42cbc4677abbe89d9b3e09a4fc0.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Gorgan University of Agricultural Sciences</PublisherName>
				<JournalTitle>International Journal of Plant Production</JournalTitle>
				<Issn>1735-6814</Issn>
				<Volume>11</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Climate change would enlarge suitable planting areas of sugarcanes in China</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>151</FirstPage>
			<LastPage>165</LastPage>
			<ELocationID EIdType="pii">3315</ELocationID>
			
<ELocationID EIdType="doi">10.22069/ijpp.2017.3315</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>C.R.</FirstName>
					<LastName>Mi</LastName>
<Affiliation>Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources
Research, University of Chinese Academy of Sciences, Beijing 100101, China.</Affiliation>

</Author>
<Author>
					<FirstName>Q.</FirstName>
					<LastName>Zu</LastName>
<Affiliation>Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources
Research, University of Chinese Academy of Sciences, Beijing 100101, China.</Affiliation>

</Author>
<Author>
					<FirstName>L.</FirstName>
					<LastName>He</LastName>
<Affiliation>National Meteorological Center, Beijing 100081, China.</Affiliation>

</Author>
<Author>
					<FirstName>F.</FirstName>
					<LastName>Huettmann</LastName>
<Affiliation>EWHALE Lab, Department of Biology and Wildlife, Institute of Arctic Biology, University of Alaska Fairbanks (UAF), 419 Irving I,
P.O. Box 757000, Fairbanks AK 99775, USA.</Affiliation>

</Author>
<Author>
					<FirstName>N.</FirstName>
					<LastName>Jin</LastName>
<Affiliation>State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation,
Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China</Affiliation>

</Author>
<Author>
					<FirstName>J.</FirstName>
					<LastName>Li</LastName>
<Affiliation>Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources
Research, University of Chinese Academy of Sciences, Beijing 100101, China.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;China’s sugar production and consumption continues to increase. This process is already&lt;br /&gt;ongoing for over 15 years and over 90% of the sugar production comes from sugarcane&lt;br /&gt;(&lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Saccharum officinarum&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;). Most of the sugarcane is planted in the south (e.g. the Chinese&lt;br /&gt;provinces of Yunnan, Guangxi, Guangdong and Hainan) and it represents there a major&lt;br /&gt;economic crop in these landscapes. As found virtually worldwide, climate change is generally&lt;br /&gt;expected to influence such suitable planting areas. Here we started a first empirical assessment&lt;br /&gt;how climate change would influence the spatial distribution of those current and future suitable&lt;br /&gt;planting areas of this strategic crop in China. We employed an ensemble machine learning&lt;br /&gt;algorithm (Random Forest; bagging) and increasingly used and robust species distribution&lt;br /&gt;models (SDMs). These are based on our compiled and best publicly available crop data sampled&lt;br /&gt;from the Chinese sugarcane industry map. They were linked with bioclimate variables from&lt;br /&gt;the Worldclim database. This powerful concept allowed us to project sugarcane’s current and&lt;br /&gt;future (2070) suitable distributions based on the climate niche. Our results were extrapolated to&lt;br /&gt;three Global Circulation Models (GCMs; BCC-CSM1-1, CNRM-CM5 and MIROC-ESM)&lt;br /&gt;under three representative concentration pathways (RCPs of 2.6, 4.5 and 8.5). The evaluations&lt;br /&gt;of these models indicated that our results had a powerful performance (AUC=0.97, TSS=0.96)&lt;br /&gt;for robust inference. Bioclimatic variables related to temperature were the most important&lt;br /&gt;predictors for sugarcane planting. All models showed similar increasing spatial trends in&lt;br /&gt;suitable distribution area and just a few original suitable areas would be lost. Our finding puts&lt;br /&gt;emphasize on new growing areas, their soil and management. It is the first to provide the&lt;br /&gt;necessary background in the future to safely cultivate sugarcane in climate-suitable areas and to&lt;br /&gt;obtain more sugar production for farmers and the industry; it is of large and strategic importance&lt;br /&gt;for food security and national autonomy of this central commodity.&lt;/span&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Sugarcane</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Climate Change</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">China</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Species distribution model (SDMs)</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Random forest (bagging) and machine learning</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Food security</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijpp.gau.ac.ir/article_3315_6aa492f9a465a3d20b3f52db393f8446.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Gorgan University of Agricultural Sciences</PublisherName>
				<JournalTitle>International Journal of Plant Production</JournalTitle>
				<Issn>1735-6814</Issn>
				<Volume>11</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Safflower model for simulation of growth and yield under various irrigation strategies, planting methods and nitrogen fertilization</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>167</FirstPage>
			<LastPage>192</LastPage>
			<ELocationID EIdType="pii">3316</ELocationID>
			
<ELocationID EIdType="doi">10.22069/ijpp.2017.3316</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>M.H.</FirstName>
					<LastName>Shahrokhnia</LastName>
<Affiliation>Irrigation Department, Shiraz University, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>A.R.</FirstName>
					<LastName>Sepaskhah</LastName>
<Affiliation>Irrigation Department, Shiraz University, Shiraz, I.R. of Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;Development and use of crop growth models is an effective tool for agricultural planning&lt;br /&gt;and decision making in agricultural industry. Besides, the drought and limited supplies of water&lt;br /&gt;in many areas of the world has increased attention to favourable strategies in farm management&lt;br /&gt;such as efficient irrigation and planting methods. The objective of this study was to develop a&lt;br /&gt;crop model for safflower known as a multi-purpose crop under various irrigation regimes,&lt;br /&gt;planting methods and nitrogen fertilization. The experiment was designed as split-split plot that&lt;br /&gt;arranged in randomized complete blocks with irrigation strategy as the main plot, planting&lt;br /&gt;method as the subplot and nitrogen levels as the sub-subplot in three replications. The irrigation&lt;br /&gt;strategies consisted of ordinary furrow irrigation (OFI) and variable alternate furrow irrigation&lt;br /&gt;(VAFI) as a partial root drying (PRD) technique. The planting methods were on-ridge planting&lt;br /&gt;(P&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;1&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;) and in-furrow planting (P&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;2&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;) methods. The fertilizer levels were 0 (N&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;0&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;), 100 (N&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;1&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;) and&lt;br /&gt;200 (N&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;2&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;) kg ha&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;-1 &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;of urea as 0, 46 and 92 kg N ha&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;-1&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;. Two years of the experiment carried out in a&lt;br /&gt;semi-arid area from 2012 to 2014. The field data of the second year of experiment were used to&lt;br /&gt;develop the model and it was validated by the data of first year. The results indicated that the&lt;br /&gt;proposed safflower model is able to estimate evapotranspiration, soil water content, leaf area&lt;br /&gt;index, soil surface evaporation, crop transpiration, biomass, straw and seed yield of safflower in&lt;br /&gt;an appropriate manner. The safflower model is useful for having better field management and&lt;br /&gt;reducing administrative costs with respect to the model simplicity and its briefness in data input.&lt;br /&gt;&lt;/span&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">crop modeling</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">PRD irrigation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Alternate furrow irrigation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Leaf area index</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Evapotranspiration</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijpp.gau.ac.ir/article_3316_40d3bda947310b9e5439b20247b26ebe.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Gorgan University of Agricultural Sciences</PublisherName>
				<JournalTitle>International Journal of Plant Production</JournalTitle>
				<Issn>1735-6814</Issn>
				<Volume>11</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Enhancing economic water productivity under on farm reservoirs in diversified rainfed cropping systems</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>193</FirstPage>
			<LastPage>207</LastPage>
			<ELocationID EIdType="pii">3317</ELocationID>
			
<ELocationID EIdType="doi">10.22069/ijpp.2017.3317</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>K.S.</FirstName>
					<LastName>Reddy</LastName>
<Affiliation>ICAR-Central Research Institute for Dryland Agriculture, Hyderabad-500 059, India.</Affiliation>

</Author>
<Author>
					<FirstName>V.</FirstName>
					<LastName>Maruthi</LastName>
<Affiliation>ICAR-Central Research Institute for Dryland Agriculture, Hyderabad-500 059, India.</Affiliation>

</Author>
<Author>
					<FirstName>M.</FirstName>
					<LastName>Kumar</LastName>
<Affiliation>ICAR-Central Research Institute for Dryland Agriculture, Hyderabad-500 059, India.</Affiliation>

</Author>
<Author>
					<FirstName>P.K.</FirstName>
					<LastName>Pankaj</LastName>
<Affiliation>ICAR-Central Research Institute for Dryland Agriculture, Hyderabad-500 059, India.</Affiliation>

</Author>
<Author>
					<FirstName>A.G.K.</FirstName>
					<LastName>Reddy</LastName>
<Affiliation>ICAR-Central Research Institute for Dryland Agriculture, Hyderabad-500 059, India.</Affiliation>

</Author>
<Author>
					<FirstName>B.</FirstName>
					<LastName>Umesha</LastName>
<Affiliation>ICAR-Central Research Institute for Dryland Agriculture, Hyderabad-500 059, India.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;A long term study was done to assess the impact of on farm reservoirs (OFR) on oil seed&lt;br /&gt;and cereal based cropping systems with vegetables (okra, tomato and carrot) in semi-arid&lt;br /&gt;alfisol of southern Telangana region. Two supplemental irrigation (SI) depths (30 and 50 mm)&lt;br /&gt;from OFR with raingun system were studied for assessing the water productivity and&lt;br /&gt;profitability of the technology in these cropping systems. Cropping system using sole crop&lt;br /&gt;of groundnut or maize, later was found to be more profitable (3 times) with 50 mm SI in&lt;br /&gt;2 critical growth stages having annualized net benefit (ANB) of $ 971 - 998 / ha and&lt;br /&gt;economic productivity (EP) of 31 Cents / m&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;3 &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;under different capacities of OFR (500-1500&lt;br /&gt;m&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;3&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;). In rainy season with single filling of OFR and deficit irrigation of 30 mm SI,&lt;br /&gt;maize+tomato was found to be more profitable (ANB: $ 1659 - 2325 / ha and EP: 37 - 51&lt;br /&gt;Cents / m&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;3&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;) as compared to sole crop or with okra. During rainy season and post-rainy season&lt;br /&gt;with second filling of OFR at SI depth of 30 mm, maize+tomato+carrot was the most&lt;br /&gt;profitable option (ANB: $ 2544 - 3012 / ha and EP: 37 - 45 Cents/ m&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;3&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;) as compared to any&lt;br /&gt;other combination of the crops. The study revealed that the best economical crop combination&lt;br /&gt;under deficit irrigation of 30 mm will make the rainfed agriculture more remunerative with&lt;br /&gt;OFR technology with efficient use of surface water.&lt;/span&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">On farm reservoirs</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Supplemental irrigation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Economic productivity</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Cropping system</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Rainfed agriculture</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijpp.gau.ac.ir/article_3317_bb4f0907750bfbb16f8a67c28f17b6a4.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
