Impact of reduced light intensity on wheat yield and quality: Implications for agroforestry systems
In China, agroforestry is a traditional practice that diversifies agricultural production and enhances natural resource utilization; however, it create competition for light between trees and understory crops due to heterogeneous spatio-temporal light patterns, and can lead to systemic reductions in...
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Published in | Agroforestry systems Vol. 95; no. 8; pp. 1689 - 1701 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Springer Netherlands
01.12.2021
Springer Nature B.V |
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Abstract | In China, agroforestry is a traditional practice that diversifies agricultural production and enhances natural resource utilization; however, it create competition for light between trees and understory crops due to heterogeneous spatio-temporal light patterns, and can lead to systemic reductions in grain yield as shade increases. The present study simulated reductions in light intensity caused by walnut trees (
Juglans regia
L.) before budburst, between budburst to tree foliage expansion, and after foliage expansion, to examine the effects on wheat (
Triticum aestivum
L.) yield and quality in an agroforestry system. We designed artificial shading systems using black polyethylene screen of varying density (21 %, 44 and 74%reductions in light intensity) at the jointing (approximately 70 d of shading), booting (approximately 55 d of shading), and anthesis (approximately 40 d of shading) stages, with full solar radiation (S0) as a control. Reduced light intensity significantly decreased the number of fertile florets per spike, resulting in a marked decline in grains per spike. Decreased light intensity also significantly decreased photosynthetic rates, grain yield and associated components (spike number, grains per spike, and thousand-grain weight), Furthermore, when applied at the anthesis stage, shading had the strongest negative impact on wheat productivity via decreases in thousand-grain weight. Decreased light intensity substantially enhanced grain and stalk nitrogen concentrations, as well as protein and wet gluten contents. However, the increase in grain quality did not compensate for the decreased final grain yield. Our evaluation of the effect of heterogeneous spatio-temporal light patterns on wheat yield and quality via an artificial shade system may help plantation managers to optimize agroforestry practices in Southern Xinjiang, Northwest China. |
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AbstractList | In China, agroforestry is a traditional practice that diversifies agricultural production and enhances natural resource utilization; however, it create competition for light between trees and understory crops due to heterogeneous spatio-temporal light patterns, and can lead to systemic reductions in grain yield as shade increases. The present study simulated reductions in light intensity caused by walnut trees (Juglans regia L.) before budburst, between budburst to tree foliage expansion, and after foliage expansion, to examine the effects on wheat (Triticum aestivum L.) yield and quality in an agroforestry system. We designed artificial shading systems using black polyethylene screen of varying density (21 %, 44 and 74%reductions in light intensity) at the jointing (approximately 70 d of shading), booting (approximately 55 d of shading), and anthesis (approximately 40 d of shading) stages, with full solar radiation (S0) as a control. Reduced light intensity significantly decreased the number of fertile florets per spike, resulting in a marked decline in grains per spike. Decreased light intensity also significantly decreased photosynthetic rates, grain yield and associated components (spike number, grains per spike, and thousand-grain weight), Furthermore, when applied at the anthesis stage, shading had the strongest negative impact on wheat productivity via decreases in thousand-grain weight. Decreased light intensity substantially enhanced grain and stalk nitrogen concentrations, as well as protein and wet gluten contents. However, the increase in grain quality did not compensate for the decreased final grain yield. Our evaluation of the effect of heterogeneous spatio-temporal light patterns on wheat yield and quality via an artificial shade system may help plantation managers to optimize agroforestry practices in Southern Xinjiang, Northwest China. In China, agroforestry is a traditional practice that diversifies agricultural production and enhances natural resource utilization; however, it create competition for light between trees and understory crops due to heterogeneous spatio-temporal light patterns, and can lead to systemic reductions in grain yield as shade increases. The present study simulated reductions in light intensity caused by walnut trees ( Juglans regia L.) before budburst, between budburst to tree foliage expansion, and after foliage expansion, to examine the effects on wheat ( Triticum aestivum L.) yield and quality in an agroforestry system. We designed artificial shading systems using black polyethylene screen of varying density (21 %, 44 and 74%reductions in light intensity) at the jointing (approximately 70 d of shading), booting (approximately 55 d of shading), and anthesis (approximately 40 d of shading) stages, with full solar radiation (S0) as a control. Reduced light intensity significantly decreased the number of fertile florets per spike, resulting in a marked decline in grains per spike. Decreased light intensity also significantly decreased photosynthetic rates, grain yield and associated components (spike number, grains per spike, and thousand-grain weight), Furthermore, when applied at the anthesis stage, shading had the strongest negative impact on wheat productivity via decreases in thousand-grain weight. Decreased light intensity substantially enhanced grain and stalk nitrogen concentrations, as well as protein and wet gluten contents. However, the increase in grain quality did not compensate for the decreased final grain yield. Our evaluation of the effect of heterogeneous spatio-temporal light patterns on wheat yield and quality via an artificial shade system may help plantation managers to optimize agroforestry practices in Southern Xinjiang, Northwest China. |
Author | Lei, Junjie Xue, Lihua Gao, Yonghong Qiao, Xu Bei, Shuikuan Jia, Jiyu Xiao, Li Zhang, Yongqiang Zhang, Hongzhi Xu, Meng Sai, Lihan |
Author_xml | – sequence: 1 givenname: Jiyu surname: Jia fullname: Jia, Jiyu organization: College of Resources and Environmental Sciences, Key Laboratory of Plant-Soil Interactions, National Academy of Agricultural Green Development, Ministry of Education, China Agricultural University – sequence: 2 givenname: Meng surname: Xu fullname: Xu, Meng organization: Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences – sequence: 3 givenname: Shuikuan surname: Bei fullname: Bei, Shuikuan organization: College of Resources and Environmental Sciences, Key Laboratory of Plant-Soil Interactions, National Academy of Agricultural Green Development, Ministry of Education, China Agricultural University – sequence: 4 givenname: Hongzhi surname: Zhang fullname: Zhang, Hongzhi organization: Institute of Nuclear and Biological Technologies/Key Laboratory of Oasis-Desert Crop Physiology Ecology and Cultivation of Ministry of Agricultural and Rural Affairs, Xinjiang Academy of Agricultural Science – sequence: 5 givenname: Li surname: Xiao fullname: Xiao, Li organization: Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences – sequence: 6 givenname: Yonghong surname: Gao fullname: Gao, Yonghong organization: Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences – sequence: 7 givenname: Yongqiang surname: Zhang fullname: Zhang, Yongqiang organization: Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences – sequence: 8 givenname: Lihan surname: Sai fullname: Sai, Lihan organization: Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences – sequence: 9 givenname: Lihua surname: Xue fullname: Xue, Lihua organization: Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences – sequence: 10 givenname: Junjie surname: Lei fullname: Lei, Junjie organization: Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences – sequence: 11 givenname: Xu orcidid: 0000-0002-5562-2742 surname: Qiao fullname: Qiao, Xu email: qiaoxu403@163.com organization: Institute of Medicinal Plant Development, Peking Union Medical College, Chinese Academy of Medical Sciences, Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences |
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Keywords | Light intensity Shading period Grain quality Grain yield Heterogeneous spatio-temporal light patterns Agroforestry |
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St Paul, MN, U.S.A. http://methods.aaccnet.org/toc.aspx QiaoXSaiLChenXXueLLeiJImpact of fruit-tree shade intensity on the growth, yield, and quality of intercropped wheatPLOS ONE201914e02032381:CAS:528:DC%2BC1MXnsFKmtLk%3D10.1371/journal.pone.0203238309391726445427 LiXCaiJLiHBoYLiuFJiangDCaoWEffect of shading from jointing to maturity on high molecular weight glutenin subunit accumulation and glutenin macropolymer concentration in grain of winter wheatJ Agron Crop Sci201219868791:CAS:528:DC%2BC38XjtVSntr4%3D10.1111/j.1439-037X.2011.00484.x PearcyRWKrallJPSassenrath-ColeGFPhotosynthesis in fluctuating light environmentsPhotosynthesis and the Environment1996ChamSpringer321346 ArtruSGarrébSDuprazcCHielMPBlitz-FrayretCLassoisLImpact of spatio-temporal shade dynamics on wheat growth and yield, perspectives for temperate agroforestryEur J Agron201782607010.1016/j.eja.2016.10.004 LiHWJiangDWollenweberBDaiTCaoWEffects of shading on morphology, physiology and grain yield of winter wheatEur J Agron20103326727510.1016/j.eja.2010.07.002 ChenEWangZYinYGuoJChenXLiYCaoLShading after anthesis in wheat influences the amount and relative composition of grain proteinsJ Agr Sci201315144551:CAS:528:DC%2BC38XhslynsLnF10.1017/S0021859612000147 Inurreta-AguirreHDLauriPDuprazCGosmeMYield components and phenology of durum wheat in a Mediterranean alley-cropping systemAgrofor Syst20189296197410.1007/s10457-018-0201-2 FixenPEGroveJHSoil testing and plant analysis19903MadisonAmerican Society of Agronomy and Soil Science Society of America ReynoldsPESimpsonJAThevathasanNVGordonAMEffects of tree competition on corn and soybean photosynthesis, growth, and yield in a temperate tree-based agroforestry intercropping system in southern Ontario, CanadaEcol Eng20072936237110.1016/j.ecoleng.2006.09.024 SmethurstPJHuthNIMasikatiPSileshiGWAkinnifesiFKWilsonJSinclairFAccurate crop yield predictions from modelling tree-crop interactions in gliricidia-maize agroforestryAgrofor Syst2017155707710.1016/j.agsy.2017.04.008 M Bergeron (668_CR5) 2011; 83 W Zhang (668_CR32) 2013; 87 A Rosati (668_CR29) 2020; 284 X Qiao (668_CR23) 2019; 14 A Surki (668_CR31) 2020; 94 JA Foley (668_CR14) 2011; 478 JF Chen (668_CR9) 2020; 113 JR Brandle (668_CR7) 2004; 61 X Li (668_CR18) 2012; 198 PE Fixen (668_CR13) 1990 S Jose (668_CR16) 2000; 48 PE Reynolds (668_CR26) 2007; 29 S Artru (668_CR4) 2018; 215 M Bhatta (668_CR6) 2017; 97 RW Pearcy (668_CR21) 1996 F Zheng (668_CR35) 2020; 40 D Rivest (668_CR27) 2009; 91 PJ Smethurst (668_CR30) 2017; 155 H Mu (668_CR20) 2011; 196 AK Evers (668_CR12) 2010; 4 S Artru (668_CR3) 2017; 82 W Zhang (668_CR33) 2019; 93 C Zhao (668_CR34) 2017; 114 HD Inurreta-Aguirre (668_CR15) 2018; 92 R Retkute (668_CR25) 2015; 66 668_CR1 FC Moore (668_CR19) 2014; 4 A Quinkenstein (668_CR24) 2009; 12 HW Li (668_CR17) 2010; 33 S Demotes-Mainard (668_CR11) 2004; 87 X Qiao (668_CR22) 2013; 22 CP Chirko (668_CR10) 1996; 83 D Rivest (668_CR28) 2013; 463 MG Arenas-Corraliza (668_CR2) 2019; 9 E Chen (668_CR8) 2013; 151 |
References_xml | – reference: BhattaMRegassaTRoseDJBaenzigerPSEskridgeKMSantraDKPoudelRGenotype, environment, seeding rate, and top-dressed nitrogen effects on end-use quality of modern Nebraska winter wheatJ Sci Food Agr201797531153181:CAS:528:DC%2BC2sXhtVKhs73K10.1002/jsfa.8417 – reference: LiHWJiangDWollenweberBDaiTCaoWEffects of shading on morphology, physiology and grain yield of winter wheatEur J Agron20103326727510.1016/j.eja.2010.07.002 – reference: MooreFCLobellDBAdaptation potential of European agriculture in response to climate changeNat Clim Change2014461061410.1038/NCLIMATE2228 – reference: PearcyRWKrallJPSassenrath-ColeGFPhotosynthesis in fluctuating light environmentsPhotosynthesis and the Environment1996ChamSpringer321346 – reference: SurkiANazariMFallahSIranipourRMousaviAThe competitive effect of almond trees on light and nutrients absorption, crop growth rate, and the yield in almond–cereal agroforestry systems in semi-arid regionsAgrofor Syst2020941111112210.1007/s10457-019-00469-2 – reference: AACC International (2010) Approved methods of analysis. 11th Ed. [Online]. St Paul, MN, U.S.A. http://methods.aaccnet.org/toc.aspx – reference: LiXCaiJLiHBoYLiuFJiangDCaoWEffect of shading from jointing to maturity on high molecular weight glutenin subunit accumulation and glutenin macropolymer concentration in grain of winter wheatJ Agron Crop Sci201219868791:CAS:528:DC%2BC38XjtVSntr4%3D10.1111/j.1439-037X.2011.00484.x – reference: RivestDCogliastroAOlivierATree-based intercropping systems increase growth and nutrient status of hybrid poplar: a case study from two Northeastern American experimentsJ Environ Manage20099143244010.1016/j.jenvman.2009.09.01319783353 – reference: QiaoXZhangHLeiJWangMZhaoQXueLSaiLChenXEffect of shading on photosynthesis and grain-filling characteristics in wheatAcat Agriculturae Boreali-Occidentalis Sinica20132291410.7606/j.issn.1004-1389.2013.08.002 – reference: ArtruSGarrébSDuprazcCHielMPBlitz-FrayretCLassoisLImpact of spatio-temporal shade dynamics on wheat growth and yield, perspectives for temperate agroforestryEur J Agron201782607010.1016/j.eja.2016.10.004 – reference: Inurreta-AguirreHDLauriPDuprazCGosmeMYield components and phenology of durum wheat in a Mediterranean alley-cropping systemAgrofor Syst20189296197410.1007/s10457-018-0201-2 – reference: ZhangWAhanbiekePWangBJXuWLLiLHChristiePLiLRoot distribution and interactions in jujube tree/wheat agroforestry systemAgrofor Syst20138792993910.1007/s10457-013-9609-x – reference: MuHJiangDWollenweberBDaiTJingQCaoWLong-term low radiation decreases leaf photosynthesis, photochemical efficiency and grain yield in winter wheatJ Agron Crop Sci201119638471:CAS:528:DC%2BC3cXks1Slsb8%3D10.1111/j.1439-037X.2009.00394.x – reference: BergeronMLacombeSBradleyRLWhalenJCogliastroAJutrasMFArpPReduced soil nutrient leaching following the establishment of tree-based intercropping systems in eastern CanadaAgrofor Syst20118332133010.1007/s10457-011-9402-7 – reference: ChirkoCPGoldMANguyenPVJiangJPInfluence of direction and distance from trees on wheat yield and photosynthetic photon flux density (Qp) in a Paulownia and wheat intercropping systemForest Ecol Manag19968317118010.1016/0378-1127(96)03721-8 – reference: RosatiAWolzKJMurphyLPontiLJoseSModeling light below tree canopies overestimates net photosynthesis and radiation use efficiency in understory crops by averaging light in space and timeAgr Forest Meteorol20202841510789210.1016/j.agrformet.2019.107892 – reference: Demotes-MainardSJeuffroyMHEffects of nitrogen and radiation on dry matter and nitrogen accumulation in the spike of winter wheatField Crop Res20048722123310.1016/j.fcr.2003.11.014 – reference: ArtruSDumontBRugetFLaunayMRipocheDLassoisLGarreSHow does stics crop model simulate crop growth and productivity under shade conditions?Field Crop Res2018215839310.1016/j.fcr.2017.10.005 – reference: RetkuteRSmith-UnnaSESmithRWBurgessAJJensenOEJohnsonGNMurchieEHExploiting heterogeneous environments: does photosynthetic acclimation optimize carbon gain in fluctuating light?J Exp Bot201566243724471:CAS:528:DC%2BC28XhslWks7nI10.1093/jxb/erv055257887304629418 – reference: ZhaoCLiuBPiaoSLWangXHLobellDBHuangYAssengSTemperature increase reduces global yields of major crops in four independent estimatesP Natl Acad Sci USA2017114932693311:CAS:528:DC%2BC2sXhtlemu7rO10.1073/pnas.1701762114 – reference: BrandleJRHodgesLZhouXHWindbreaks in North American agricultural systemsAgrofor Syst200461657810.1023/B:AGFO.0000028990.31801.62 – reference: Arenas-CorralizaMGRoloVLópez-DíazMLMorenoGWheat and barley can increase grain yield in shade through acclimation of physiological and morphological traits in Mediterranean conditionsSci Rep2019995471:CAS:528:DC%2BC1MXhtlektbrL10.1038/s41598-019-46027-9312669956606618 – reference: ChenEWangZYinYGuoJChenXLiYCaoLShading after anthesis in wheat influences the amount and relative composition of grain proteinsJ Agr Sci201315144551:CAS:528:DC%2BC38XhslynsLnF10.1017/S0021859612000147 – reference: FoleyJARamankuttyNBraumanKACassidyESGerberJSJohnstonMZaksDPMSolutions for a cultivated planetNature20114783373421:CAS:528:DC%2BC3MXhtlSktbjF10.1038/nature1045221993620 – reference: ZhangWWangBJGanYWDuanZPHaoXDXuWLLiLHDifferent tree age affects light competition and yield in wheat grown as a companion crop in jujube-wheat agroforestryAgrofor Syst20199365366410.1007/s10457-017-0160-z – reference: EversAKBambrickALacombeSDoughertyMCPeichlMGordonAMBradleyRLPotential greenhouse gas mitigation through temperate tree-based intercropping systemsOpen Agr J2010449571:CAS:528:DC%2BC3MXkt1Slu7w%3D10.2174/1874331501004010049 – reference: ReynoldsPESimpsonJAThevathasanNVGordonAMEffects of tree competition on corn and soybean photosynthesis, growth, and yield in a temperate tree-based agroforestry intercropping system in southern Ontario, CanadaEcol Eng20072936237110.1016/j.ecoleng.2006.09.024 – reference: ChenJFRenWJChouQCSuHJNiLYZhangMXiePAlterations in biomass allocation indicate the adaptation of submersed macrophytes to low-light stressEcol indic202011310623510.1016/j.ecolind.2020.106235 – reference: RivestDLorenteMOlivierAMessierCSoil biochemical properties and microbial resilience in agroforestry systems: effects on wheat growth under controlled drought and flooding conditionsSci Total Environ201346351601:CAS:528:DC%2BC3sXhtl2rtbfN10.1016/j.scitotenv.2013.05.071 – reference: ZhengFLiZJQiuZJZhaoHBZhouGYEffects of understory light on functional traits of evergreen broad-leaved forest saplings in Nanling Mountains, Guangdong ProvinceActa Ecol Sin202040134516452710.5846/stxb201911152453 – reference: SmethurstPJHuthNIMasikatiPSileshiGWAkinnifesiFKWilsonJSinclairFAccurate crop yield predictions from modelling tree-crop interactions in gliricidia-maize agroforestryAgrofor Syst2017155707710.1016/j.agsy.2017.04.008 – reference: FixenPEGroveJHSoil testing and plant analysis19903MadisonAmerican Society of Agronomy and Soil Science Society of America – reference: QiaoXSaiLChenXXueLLeiJImpact of fruit-tree shade intensity on the growth, yield, and quality of intercropped wheatPLOS ONE201914e02032381:CAS:528:DC%2BC1MXnsFKmtLk%3D10.1371/journal.pone.0203238309391726445427 – reference: JoseSGillespieARSeifertJRMengelDBPopePEDefining competition vectors in a temperate alley cropping system in the mid-western USA. 3. Competition for nitrogen and litter decomposition dynamicsAgrofor Syst200048617710.1023/A:1006241406462 – reference: QuinkensteinAWolleckeJBohmCGrunewaldHFreeseDSchneiderBUHuttlRFEcological benefits of the alley cropping agroforestry system in sensitive regions of EuropeEnviron Sci Policy2009121112112110.1016/j.envsci.2009.08.008 – volume: 87 start-page: 929 year: 2013 ident: 668_CR32 publication-title: Agrofor Syst doi: 10.1007/s10457-013-9609-x – volume: 198 start-page: 68 year: 2012 ident: 668_CR18 publication-title: J Agron Crop Sci doi: 10.1111/j.1439-037X.2011.00484.x – volume: 4 start-page: 49 year: 2010 ident: 668_CR12 publication-title: Open Agr J doi: 10.2174/1874331501004010049 – ident: 668_CR1 – volume: 4 start-page: 610 year: 2014 ident: 668_CR19 publication-title: Nat Clim Change doi: 10.1038/NCLIMATE2228 – volume: 463 start-page: 51 year: 2013 ident: 668_CR28 publication-title: Sci Total Environ doi: 10.1016/j.scitotenv.2013.05.071 – volume: 114 start-page: 9326 year: 2017 ident: 668_CR34 publication-title: P Natl Acad Sci USA doi: 10.1073/pnas.1701762114 – volume: 29 start-page: 362 year: 2007 ident: 668_CR26 publication-title: Ecol Eng doi: 10.1016/j.ecoleng.2006.09.024 – volume: 113 start-page: 106235 year: 2020 ident: 668_CR9 publication-title: Ecol indic doi: 10.1016/j.ecolind.2020.106235 – volume: 151 start-page: 44 year: 2013 ident: 668_CR8 publication-title: J Agr Sci doi: 10.1017/S0021859612000147 – volume: 478 start-page: 337 year: 2011 ident: 668_CR14 publication-title: Nature doi: 10.1038/nature10452 – volume: 97 start-page: 5311 year: 2017 ident: 668_CR6 publication-title: J Sci Food Agr doi: 10.1002/jsfa.8417 – volume: 40 start-page: 4516 issue: 13 year: 2020 ident: 668_CR35 publication-title: Acta Ecol Sin doi: 10.5846/stxb201911152453 – volume: 33 start-page: 267 year: 2010 ident: 668_CR17 publication-title: Eur J Agron doi: 10.1016/j.eja.2010.07.002 – volume: 94 start-page: 1111 year: 2020 ident: 668_CR31 publication-title: Agrofor Syst doi: 10.1007/s10457-019-00469-2 – volume: 12 start-page: 1112 year: 2009 ident: 668_CR24 publication-title: Environ Sci Policy doi: 10.1016/j.envsci.2009.08.008 – volume: 93 start-page: 653 year: 2019 ident: 668_CR33 publication-title: Agrofor Syst doi: 10.1007/s10457-017-0160-z – volume: 92 start-page: 961 year: 2018 ident: 668_CR15 publication-title: Agrofor Syst doi: 10.1007/s10457-018-0201-2 – volume: 14 start-page: e0203238 year: 2019 ident: 668_CR23 publication-title: PLOS ONE doi: 10.1371/journal.pone.0203238 – volume: 284 start-page: 107892 issue: 15 year: 2020 ident: 668_CR29 publication-title: Agr Forest Meteorol doi: 10.1016/j.agrformet.2019.107892 – volume: 9 start-page: 9547 year: 2019 ident: 668_CR2 publication-title: Sci Rep doi: 10.1038/s41598-019-46027-9 – volume: 91 start-page: 432 year: 2009 ident: 668_CR27 publication-title: J Environ Manage doi: 10.1016/j.jenvman.2009.09.013 – volume: 87 start-page: 221 year: 2004 ident: 668_CR11 publication-title: Field Crop Res doi: 10.1016/j.fcr.2003.11.014 – volume: 66 start-page: 2437 year: 2015 ident: 668_CR25 publication-title: J Exp Bot doi: 10.1093/jxb/erv055 – volume: 83 start-page: 171 year: 1996 ident: 668_CR10 publication-title: Forest Ecol Manag doi: 10.1016/0378-1127(96)03721-8 – volume: 83 start-page: 321 year: 2011 ident: 668_CR5 publication-title: Agrofor Syst doi: 10.1007/s10457-011-9402-7 – volume: 48 start-page: 61 year: 2000 ident: 668_CR16 publication-title: Agrofor Syst doi: 10.1023/A:1006241406462 – volume: 215 start-page: 83 year: 2018 ident: 668_CR4 publication-title: Field Crop Res doi: 10.1016/j.fcr.2017.10.005 – volume: 61 start-page: 65 year: 2004 ident: 668_CR7 publication-title: Agrofor Syst doi: 10.1023/B:AGFO.0000028990.31801.62 – volume-title: Soil testing and plant analysis year: 1990 ident: 668_CR13 – volume: 196 start-page: 38 year: 2011 ident: 668_CR20 publication-title: J Agron Crop Sci doi: 10.1111/j.1439-037X.2009.00394.x – start-page: 321 volume-title: Photosynthesis and the Environment year: 1996 ident: 668_CR21 – volume: 22 start-page: 9 year: 2013 ident: 668_CR22 publication-title: Acat Agriculturae Boreali-Occidentalis Sinica doi: 10.7606/j.issn.1004-1389.2013.08.002 – volume: 155 start-page: 70 year: 2017 ident: 668_CR30 publication-title: Agrofor Syst doi: 10.1016/j.agsy.2017.04.008 – volume: 82 start-page: 60 year: 2017 ident: 668_CR3 publication-title: Eur J Agron doi: 10.1016/j.eja.2016.10.004 |
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SubjectTerms | Agricultural production Agriculture Agroforestry artificial shade Biomedical and Life Sciences China Crop yield florets flowering Foliage Forestry Gluten Grain grain quality grain yield Juglans regia Leaves Life Sciences Light Light intensity Luminous intensity Natural resources nitrogen Photosynthesis Polyethylene Polyethylenes Resource utilization Shade Shading Solar radiation Trees Triticum aestivum Understory Walnuts Weight reduction Wheat |
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Title | Impact of reduced light intensity on wheat yield and quality: Implications for agroforestry systems |
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