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[中国雨养区春小麦产量及主要农艺性状的变异分析]

[Variation analysis on the grain yield and main agronomic traits of spring wheat in rainfed regions of China].

作者信息

Chang Lei, Chai Shou-xi, Yang De-long, Lu Qing-lin

机构信息

College of Life Science and Technology, Gansu Agricultural University, Lanzhou, China.

出版信息

Ying Yong Sheng Tai Xue Bao. 2010 Nov;21(11):2821-9.

Abstract

Based on the grain yield data of spring wheat from the 2002-2005 regional trials with 13 cultivars (lines) on the rainfed farmlands at 18 locations of China, and by using variance analysis and GGE (genotype main effect plus genotype-by-environment interaction) biplot, this paper studied the effects of genotype, environment, and genotype x environment interaction (GEI) on the yield variation of spring wheat and the yield stability of different cultivars (lines). Comparing with genotype and GEI, the environment had much more contribution on the yield variation, accounting for 87.5%-92.0% of the total. In the GEI items, genotype x location had the greatest effect, whereas genotype x year had the smallest one. The average yield of modern spring wheat genotypes across years and locations in China was 2550 kg x hm(-2). Among the three yield components, thousand kernel weight (TKW) had the least variation under environmental change. The main environment factors affecting the yield variation were annual accumulated temperature ( > or =10 degrees C), precipitation in growth season, mean air temperature, altitude, annual precipitation, and frost-free period. The grain yield had significant positive correlations with spike number per unit area (SPU) (r = 0.675**), TKW (r = 0.456**), and kernels per spike (KPS) (r = 0.581**), and the SPU, KPS and TKW also had positive correlations (r = 0.244-0.480**) with each other, implying that these three yield components might be increased or improved synchronously.

摘要

基于2002—2005年中国18个地点雨养农田13个品种(系)春小麦的区域试验产量数据,运用方差分析和GGE(基因型主效应+基因型与环境互作)双标图,研究了基因型、环境以及基因型×环境互作(GEI)对春小麦产量变异和不同品种(系)产量稳定性的影响。与基因型和GEI相比,环境对产量变异的贡献更大,占总量的87.5%—92.0%。在GEI项目中,基因型×地点的效应最大,而基因型×年份的效应最小。中国现代春小麦基因型在多年多点的平均产量为2550 kg·hm-2。在三个产量构成因素中,千粒重(TKW)在环境变化下的变异最小。影响产量变异的主要环境因素是年积温(≥10℃)、生长季降水量、平均气温、海拔、年降水量和无霜期。籽粒产量与单位面积穗数(SPU)(r = 0.675**)、千粒重(r = 0.456**)和穗粒数(KPS)(r = 0.581**)呈显著正相关,且SPU、KPS和TKW之间也呈正相关(r = 0.244 - 0.480**),这意味着这三个产量构成因素可能会同步增加或提高。

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