当前位置: X-MOL 学术Exp. Agric. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Evaluation of sugarcane genotypes with respect to sucrose yield across three crop cycles using GGE biplot analysis
Experimental Agriculture ( IF 1.6 ) Pub Date : 2021-08-04 , DOI: 10.1017/s0014479721000144
Aliya Momotaz 1 , Per H. McCord 2 , R. Wayne Davidson 3 , Duli Zhao 4 , Miguel Baltazar 3 , Orlando Coto Arbelo 4 , Hardev S. Sandhu 5
Affiliation  

SummaryThe experiment was carried out in three crop cycles as plant cane, first ratoon, and second ratoon at five locations on Florida muck soils (histosols) to evaluate the genotypes, test locations, and identify the superior and stable sugarcane genotypes. There were 13 sugarcane genotypes along with three commercial cultivars as checks included in this study. Five locations were considered as environments to analyze genotype-by-environment interaction (GEI) in 13 genotypes in three crop cycles. The sugarcane genotypes were planted in a randomized complete block design with six replications at each location. Performance was measured by the traits of sucrose yield tons per hectare (SY) and commercial recoverable sugar (CRS) in kilograms of sugar per ton of cane. The data were subjected to genotype main effects and genotype × environment interaction (GGE) analyses. The results showed significant effects for genotype (G), locations (E), and G × E (genotype × environment interaction) with respect to both traits. The GGE biplot analysis showed that the sugarcane genotype CP 12-1417 was high yielding and stable in terms of sucrose yield. The most discriminating and non-representative locations were Knight Farm (KN) for both SY and CRS. For sucrose yield only, the most discriminating and non-representative locations were Knight Farm (KN), Duda and Sons, Inc. USSC, Area 5 (A5), and Okeelanta (OK).

中文翻译:

使用 GGE 双图分析评估三个作物周期中甘蔗基因型对蔗糖产量的影响

小结本实验在佛罗里达渣土(组织溶胶)的五个地点进行了种植甘蔗、第一次再生和第二次再生的三个作物周期,以评估基因型、测试地点,并确定优良和稳定的甘蔗基因型。本研究包括 13 个甘蔗基因型和 3 个商业品种作为检查。五个地点被认为是分析三个作物周期中 13 个基因型的基因型与环境相互作用 (GEI) 的环境。甘蔗基因型以随机完整区组设计种植,每个位置重复六次。性能是通过每公顷蔗糖产量吨(SY)和商业可回收糖(CRS)每吨甘蔗的公斤糖来衡量的。对数据进行基因型主效应和基因型×环境相互作用(GGE)分析。结果显示,基因型 (G)、位置 (E) 和 G × E(基因型 × 环境相互作用)对这两个性状都有显着影响。GGE双标图分析表明,基因型CP 12-1417甘蔗产量高,蔗糖产量稳定。SY 和 CRS 最具歧视性和非代表性的地点是 Knight Farm (KN)。仅就蔗糖产量而言,最具歧视性和非代表性的地点是 Knight Farm (KN)、Duda and Sons, Inc. USSC、Area 5 (A5) 和 Okeelanta (OK)。GGE双标图分析表明,基因型CP 12-1417甘蔗产量高,蔗糖产量稳定。SY 和 CRS 最具歧视性和非代表性的地点是 Knight Farm (KN)。仅就蔗糖产量而言,最具歧视性和非代表性的地点是 Knight Farm (KN)、Duda and Sons, Inc. USSC、Area 5 (A5) 和 Okeelanta (OK)。GGE双标图分析表明,基因型CP 12-1417甘蔗产量高,蔗糖产量稳定。SY 和 CRS 最具歧视性和非代表性的地点是 Knight Farm (KN)。仅就蔗糖产量而言,最具歧视性和非代表性的地点是 Knight Farm (KN)、Duda and Sons, Inc. USSC、Area 5 (A5) 和 Okeelanta (OK)。
更新日期:2021-08-04
down
wechat
bug