Nutrient balance is essential for attaining high yield and improving profits in agricultural farming systems,and crop nutrient uptake ratio and stoichiometry can indicate crop nutrient limitations in the field.We coll...Nutrient balance is essential for attaining high yield and improving profits in agricultural farming systems,and crop nutrient uptake ratio and stoichiometry can indicate crop nutrient limitations in the field.We collected a large amount of field data to study the variations in yield,nutrient uptake and nutrient stoichiometry of peanut(Arachis hypogaea L.)in Southeast China(SEC),North-central China(NCC),and Northeast China(NEC),during 1993 to 2018.Peanut pod yield gradually increased from 1993 to 2018,with average yields of 4148,5138,and 4635 kg ha–1 in SEC,NCC,and NEC,respectively.The nitrogen(N)internal efficiency(NIE,yield to N uptake ratio)was similar among the three regions,but phosphorus(P)IE(PIE,yield to P uptake ratio)changed from low to high among regions:NCC<SEC<NEC,while potassium(K)IE(KIE,yield to K uptake ratio)portrayed a different pattern of SEC<NCC<NEC.Based on the nutrient IE,to produce 1 Mg of pod yield,the average N,P,and K requirements of the above-ground parts of peanut were roughly 47.2,5.1,and 25.5 kg in SEC,44.8,5.7,and 20.6 kg in NCC,and 44.6,4.4,and 14.7 kg in NEC,respectively.The N/P ratio changed in the sequence NCC<SEC<NEC,and the N/K ratio was similar in NEC and NCC,but lower in SEC.The N harvest index(HI)and KHI declined with increasing nutrient uptake across all regions under high nutrient uptake.The low PIE and N/P ratios in NCC could be explained by the high P accumulation in stover,and high KIE and N/K ratios in NEC may be attributed to the low soil K supply.The frontier analysis approach provides a practical framework and allows documentation of a decline in nutrient HI as nutrient uptake increases.Lastly,this study reveals the limitation and surplus of nutrients of peanut in different regions of China.展开更多
High-density and precise genetic linkage map is fundamental to detect quantitative trait locus (QTL) of agronomic and quality related traits in cultivated peanut (Arachis hypogaea L.). In this study, three linkage map...High-density and precise genetic linkage map is fundamental to detect quantitative trait locus (QTL) of agronomic and quality related traits in cultivated peanut (Arachis hypogaea L.). In this study, three linkage maps from three RIL (recombinant inbred line)populations were used to construct an integrated map. A total of 2,069 SSR and transposon markers were anchored on the high-density integrated map which covered 2,231.53 cM with 20 linkage groups. Totally, 92 QTLs correlating with pod length (PL), pod width (PW), hundred pods weight (HPW) and plant height (PH) from above RIL populations were mapped on it. Seven intervals were found to harbor QTLs controlling the same traits in different populations,including one for PL, three for PW, two for HPW, and one for PH. Besides, QTLs controlling different traits in different populations were found to be overlapped in four intervals.Interval on A05 contains 17 QTLs for different traits from two RIL populations. New markers were added to these intervals to detect QTLs with narrow confidential intervals.Results obtained in this study may facilitate future genomic researches such as QTL study, fine mapping, positional cloning and marker-assisted selection (MAS) in peanut.展开更多
立足于国产谷物测产系统的需求,开发谷物产量数据处理和产量分布图生成系统。确立了该系统主要功能和系统层次结构,选用了距离反比加权空间产量数据插值(Inverse Distance to Power)算法,采用值过滤和3σ法则滤除粗大产量数据,研究了等...立足于国产谷物测产系统的需求,开发谷物产量数据处理和产量分布图生成系统。确立了该系统主要功能和系统层次结构,选用了距离反比加权空间产量数据插值(Inverse Distance to Power)算法,采用值过滤和3σ法则滤除粗大产量数据,研究了等值线产量图生成方法,开发了具有空间数据插值、误差产量数据过滤、产量数据统计分布、原始产量点图、栅格图和等值线图的谷物产量图生成系统。展开更多
基金supported by the National Key Research and Development Program of China(2018YFD0201001 and 2016YFD0200102)the Kansas Agricultural Experiment Station,USA(21-079-J)。
文摘Nutrient balance is essential for attaining high yield and improving profits in agricultural farming systems,and crop nutrient uptake ratio and stoichiometry can indicate crop nutrient limitations in the field.We collected a large amount of field data to study the variations in yield,nutrient uptake and nutrient stoichiometry of peanut(Arachis hypogaea L.)in Southeast China(SEC),North-central China(NCC),and Northeast China(NEC),during 1993 to 2018.Peanut pod yield gradually increased from 1993 to 2018,with average yields of 4148,5138,and 4635 kg ha–1 in SEC,NCC,and NEC,respectively.The nitrogen(N)internal efficiency(NIE,yield to N uptake ratio)was similar among the three regions,but phosphorus(P)IE(PIE,yield to P uptake ratio)changed from low to high among regions:NCC<SEC<NEC,while potassium(K)IE(KIE,yield to K uptake ratio)portrayed a different pattern of SEC<NCC<NEC.Based on the nutrient IE,to produce 1 Mg of pod yield,the average N,P,and K requirements of the above-ground parts of peanut were roughly 47.2,5.1,and 25.5 kg in SEC,44.8,5.7,and 20.6 kg in NCC,and 44.6,4.4,and 14.7 kg in NEC,respectively.The N/P ratio changed in the sequence NCC<SEC<NEC,and the N/K ratio was similar in NEC and NCC,but lower in SEC.The N harvest index(HI)and KHI declined with increasing nutrient uptake across all regions under high nutrient uptake.The low PIE and N/P ratios in NCC could be explained by the high P accumulation in stover,and high KIE and N/K ratios in NEC may be attributed to the low soil K supply.The frontier analysis approach provides a practical framework and allows documentation of a decline in nutrient HI as nutrient uptake increases.Lastly,this study reveals the limitation and surplus of nutrients of peanut in different regions of China.
文摘High-density and precise genetic linkage map is fundamental to detect quantitative trait locus (QTL) of agronomic and quality related traits in cultivated peanut (Arachis hypogaea L.). In this study, three linkage maps from three RIL (recombinant inbred line)populations were used to construct an integrated map. A total of 2,069 SSR and transposon markers were anchored on the high-density integrated map which covered 2,231.53 cM with 20 linkage groups. Totally, 92 QTLs correlating with pod length (PL), pod width (PW), hundred pods weight (HPW) and plant height (PH) from above RIL populations were mapped on it. Seven intervals were found to harbor QTLs controlling the same traits in different populations,including one for PL, three for PW, two for HPW, and one for PH. Besides, QTLs controlling different traits in different populations were found to be overlapped in four intervals.Interval on A05 contains 17 QTLs for different traits from two RIL populations. New markers were added to these intervals to detect QTLs with narrow confidential intervals.Results obtained in this study may facilitate future genomic researches such as QTL study, fine mapping, positional cloning and marker-assisted selection (MAS) in peanut.
文摘立足于国产谷物测产系统的需求,开发谷物产量数据处理和产量分布图生成系统。确立了该系统主要功能和系统层次结构,选用了距离反比加权空间产量数据插值(Inverse Distance to Power)算法,采用值过滤和3σ法则滤除粗大产量数据,研究了等值线产量图生成方法,开发了具有空间数据插值、误差产量数据过滤、产量数据统计分布、原始产量点图、栅格图和等值线图的谷物产量图生成系统。
