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首页> 外文期刊>American Journal of Experimental Agriculture >Soybean (Glycine max L) Genotype and Environment Interaction Effect on Yield and Other Related Traits
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Soybean (Glycine max L) Genotype and Environment Interaction Effect on Yield and Other Related Traits

机译:大豆基因型和环境互作对产量及其他相关性状的影响

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Aims: To evaluate genetic variability of five soybean genotypes, and assess genotype × environment effect on seed yield and yield related traits. Study Design: Split-plot, replicated three times. Genotypes were fixed effect while plots (main 60 m2and subplot 12 m2) were random effects. The sub-plot consists of 4 rows 5 m long with 60 cm and 10 cm inter and intra-row spacing. Place and Duration: El Gantra, Range and Pasture Farm in Sennar State of the Sudan during 2009 and 2010 cropping season. Methodology: Five soybean genotypes NA 5009 RG; TGx 1904-6F, TGx 1740-2F, TGx 1937-1F and Soja were evaluated. A strain of Rhizobium japonicum was used for inoculation at a rate of 10 g per kg of soybean seed using a sugary solution in 2009. Inoculation was not carried out due to the assumption that the field had the remnant of inoculum effect in 2010. All the recommended soybean agronomic practices were equally applied. Number of days to 50 % flowering was recorded on plot basis when almost half of the sub-plot flowers. Ten plants were randomly selected on plot basis to quantify these traits: Plant height was measured as from ground surface to the base of meri-stem of the mother plant. Number of branches was computed as an average count of branches per plant. Leaf area was computed using Iamauti [12] empirical relationship. The first pod height was measured at full bloom. Number of seeds per pod was counted at physiological maturity of the crop. 100-seed weight was determined randomly from a seed bulk using a digital weighing machine. Seed yield was quantified after harvest and converted into kg/hectare. Results: The effect of genotype (G), environment (E) and G × E interactions on pod number per plant; plant height, first pod height, number of branches per plant, leaf area, number of days to 50% flowering and seed yield were found significant at P=0.05. The highest mean seed yield was obtained from TGx 1937-1F (0.98 t/ha). Beside TGx 1740-2F, TGx 1904-6F and Soja were significantly higher than NA 5009 RG in all environments for seed yield. TGx 1937-1F was an intermediate maturing and best in terms of number of pods per plant, number of branches per plant, and leaf area. Correlation coefficient for seed yield showed significant association with days to 50 % flowering and leaf area. Conclusion: The best genotype for seed yield across the environments was TGx 1937-1F and TGx 1740-2F, TGx1904-6F and Soja were intermediate and NA 5009 RG was the least. Thus, partitioning G × E into adaptability and phenotypic stability will positively address the information gap on association of traits to yield.
机译:目的:评估5个大豆基因型的遗传变异性,并评估基因型×环境对种子产量及产量相关性状的影响。研究设计:分割图,重复3次。基因型是固定效应,而图(主要60 m 2 和子图12 m 2 )是随机效应。该子图由4行5 m长,60 cm和10 cm行内和行内间距组成。地点和持续时间:2009年和2010年种植季节,苏丹Sennar州的El Gantra,牧场和牧场。方法:五个大豆基因型NA 5009 RG;对TGx 1904-6F,TGx 1740-2F,TGx 1937-1F和Soja进行了评估。 2009年使用日本根瘤菌菌株以每公斤大豆种子10克的速率使用含糖溶液进行接种。由于没有假设该田地在2010年具有接种效果,因此未进行接种。推荐的大豆农艺方法同样适用。当几乎一半的子样地开花时,以样地为基础记录达到50%开花的天数。以地块为基础随机选择10株植物,以量化这些性状:从地面到母本植物茎干的基部测量植物高度。分支数计算为每株植物的平均分支数。叶面积是使用Iamauti [12]的经验关系式计算得出的。在盛花期测量第一荚果的高度。每荚的种子数是根据作物的生理成熟度来计算的。使用数字称重机从种子块中随机确定100个种子的重量。收获后对种子产量进行定量,并转换为千克/公顷。结果:基因型(G),环境(E)和G×E相互作用对单株结荚数的影响;发现植物高度,第一荚果高度,每株植物的分支数,叶面积,开花至50%的天数和种子产量在P = 0.05时具有显着性。从TGx 1937-1F(0.98 t / ha)获得最高的平均种子产量。除了TGx 1740-2F之外,TGx 1904-6F和Soja在所有环境中的种子产量均显着高于NA 5009 RG。 TGx 1937-1F是中等成熟的植物,在单株豆荚数量,单株枝条数量和叶面积方面表现最佳。种子产量的相关系数与开花至50%的天数和叶面积显着相关。结论:在整个环境中,种子产量的最佳基因型是TGx 1937-1F和TGx 1740-2F,TGx1904-6F和Soja在中间,而NA 5009 RG最少。因此,将G×E划分为适应性和表型稳定性将积极解决与性状与产量相关的信息鸿沟。

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