棉花种子品质性状区域优质试验的试验地点

IF 0.7 Q4 AGRICULTURAL ENGINEERING Journal of cotton science Pub Date : 2019-01-01 DOI:10.56454/bgmn9015
L. Zeng, William C. Bridges Jr., F. Bourland
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引用次数: 2

摘要

基因型(G) ×环境(E)对棉花(Gossypium hirsutum L.)种子品质性状有显著的影响。显著的G × E相互作用需要多位置试验来评价种子品质性状,这增加了试验成本。如果对G × E相互作用的分析和育种效率没有显著影响,减少测试地点可以降低成本。本研究的目的是:1)确定在不造成显著功率损失的情况下适当减少检测位置以检测G × E效应;2)确定适当减少测试位置,而不会显著降低应变平均值估算的准确性;3)利用GGE双标图确定种子性状评价的大环境。利用2005 ~ 2013年区域高品质(RHQ)试验的历史数据,对含油量、氮含量和游离棉酚3个种子品质指标进行了分析。在大多数情况下检测到显著的G ×定位(L)相互作用。然而,对3个性状的平均值,当分别省略2个和3个位点时,G × L相互作用的不显著性分别为7.3%和9.1%。将位置减少到三个,将标准误差增加到省略零位置的25%。种子性状没有明确的大环境。然而,德克萨斯州的拉伯克、密西西比州的斯通维尔、南卡罗来纳州的佛罗伦萨和密苏里州的Portageville被认为比其他地方更有代表性,可以评估氮含量。
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Testing Locations in Regional High Quality Tests for Cotton Seed Quality Traits
Significant genotype (G) × environment (E) effects for cotton (Gossypium hirsutum L.) seed quality traits have been identified in previous studies. Significant G × E interactions necessitate multiple-location tests to evaluate seed quality traits, which add cost to the tests. Reduction of testing locations could trim costs if the analysis of G × E interactions and the efficiency in breeding are not dramatically affected. The objectives of this study were: 1) to determine an appropriate reduction of testing locations without significant loss in power for detecting G × E effects; 2) to determine an appropriate reduction of testing locations without significant loss in accuracy for estimating strain means; and 3) to identify a possible mega-environment for evaluation of seed traits using GGE biplot. Historical data of Regional High Quality (RHQ) tests from 2005 through 2013 were used to address the objectives for three seed quality traits including oil content, N content, and free-gossypol. Significant G × location (L) interactions were detected in most cases. However, with averages of the three traits, less G × L interactions were detected with 7.3% and 9.1% non-significance, when two and three locations were omitted, respectively. Reduction of locations up to three, increased standard error to 25% of those with zero locations omitted. There was no clear mega-environment identified for seed traits. However, the locations of Lubbock, TX, Stoneville, MS, Florence, SC, and Portageville, MO were identified as being more representative than others for evaluation of the N content.
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来源期刊
Journal of cotton science
Journal of cotton science AGRICULTURAL ENGINEERING-
CiteScore
0.90
自引率
20.00%
发文量
0
期刊介绍: The multidisciplinary, refereed journal contains articles that improve our understanding of cotton science. Publications may be compilations of original research, syntheses, reviews, or notes on original research or new techniques or equipment.
期刊最新文献
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