饲用仙人掌农艺性状和色泽性状的选择指标及主成分

Pub Date : 2023-03-01 DOI:10.1590/1983-21252023v36n120rc
Mariana S. de Jesus, A. Passos, R. P. Diniz
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引用次数: 0

摘要

摘要本研究的目的是比较仙人掌(Opuntia ficus indica)初代材料的选择指标。来自巴西巴伊亚州半干旱地区不同地点的65份材料在随机完全区组设计中进行了三次重复评估。对农艺和农艺性状进行了评价。采用混合模型(REML/BLUP)预测遗传参数。通过Pearson相关分析估计变量之间的线性相关程度。使用四个选择指数预测选择收益:Smith Hazel指数,具有两个经济权重组合;穆兰巴和莫克的秩和指数;以及Elston的乘法指数。应用的选择强度为30%,这允许选择20个最好的材料。变异分析显示,变异对所有性状都有显著影响。遗传参数的估计证明了印度榕树材料存在遗传变异。Smith Hazel指数(组合1)对初级性状(鲜重和枝节干重)和溴化物性状(酸性洗涤剂纤维和中性洗涤剂纤维)很重要,比其他指数表现出更高的选择增益。秩和指数和乘法指数导致大多数评价性状的选择增益。材料2、4、5、7、9、11、14、15、18、26、27、34、37、38、39、41、45、49、51、52、53和58的结果有望纳入育种计划,因为它们是通过所使用的四个选择指数中的至少两个选择的。
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Selection indexes and principal components for agronomic and bromatological traits in forage cactus
ABSTRACT The objective of the present work was to compare selection indexes focused on the selection of forage cactus (Opuntia ficus-indica) accessions at initial generations. Sixty-five accessions from different locations in the semiarid region of the state of Bahia, Brazil, were evaluated in a randomized complete block design with three replications. Agronomic and bromatological traits were evaluated. The genetic parameters were predicted by using mixed models (REML/BLUP). The linear correlation degree between variables was estimated through Pearson's correlation analysis. Selection gains were predicted using four selection indexes: Smith-Hazel index, with two combinations of economic weights; rank sum index of Mulamba and Mock; and Elston's multiplicative index. The selection intensity applied was 30%, which allowed the selection of the 20 best accessions. The analysis of deviance showed significant effect for all traits. The estimate of genetic parameters evidenced the existence of genetic variability for the O. ficus-indica accessions. The Smith-Hazel index (combination 1) was important for primary (fresh weight and cladode dry weight) and bromatological traits (acid detergent fiber and neutral detergent fiber), expressing higher selection gains than the other indexes. The rank sum and multiplicative indexes resulted in selection gains for most evaluated traits. The results of accessions 2, 4, 5, 7, 9, 11, 14, 15, 18, 26, 27, 34, 37, 38, 39, 41, 45, 49, 51, 52, 53, and 58 were promising for their inclusion in breeding programs, as they were selected by at least two of the four selection indexes used.
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