GGE Biplot Analysis of Exotic Sugarcane Genotypes in Major Sugarcane Producing Agro-ecologies of Ethiopia

IF 1.4 Q3 AGRONOMY Agricultural Research Pub Date : 2024-04-08 DOI:10.1007/s40003-024-00721-x

Esayas Tena, Feyissa Tadesse, Diribu Tesfaye, Feven Million

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Abstract

The purpose of the current study was to evaluate adaptability and phenotypic stability of 24 exotic advanced sugarcane genotypes across three major sugarcane producing agro-ecologies of Ethiopia and identify ideal location for genotype evaluation via GGE biplot analyses. The trials were conducted for 3 years involving three crop cycles or three cuttings corresponding to plant cane and first and second ratoon crops representing nine environments (location-cut combinations). Data for estimable recoverable sugar percent (ERS), cane yield (CY) (tons/ha), and sugar yield (SY) (tons/ha) were collected from the trials and subjected to ANOVA and GGE [genotype (G) plus genotype-environment (GE)] biplot analysis. ANOVA portrayed that genotype by environment interaction (GEI) accounted for 42.74%, 54.70% and 60.52% of the total variation for ERS, CY and SY, respectively, indicating GEI variation was a substantial proportion of the total variation in all the traits. High broad sense heritability (H²) was recorded for ERS (79.28) whereas that of SY was extremely low (2.90) showing difficulty of this trait to improve by simple phenotypic selection. GGE biplots for ERS, CY and SY showed that the first two principal components (PCs) together explained 59.01%, 80.54% and 71.73% of the total variation, respectively. GGE biplot analysis also revealed high positive correlations among crop cycles at all locations for all measured traits implying evaluation of genotypes across locations could give reliable information on the performance of the genotypes than testing for ratooning ability. The location Metehara, being both discriminating and representative, was identified as ideal for genotype evaluation. Genotypes G1 (PSR-9784) and G7 (VMC95-252) having high mean performance for cane yield (152 tons/ha and 142 tons/ha) and sugar yield (18 tons/ha and 18 tons/ha) and stability across environments, were recommended as ideal genotypes. These genotypes could be commercially grown at the studied locations or similar agro-ecologies.

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埃塞俄比亚主要甘蔗生产农业生态中外来甘蔗基因型的 GGE 双图分析

本研究的目的是评估 24 个外来先进甘蔗基因型在埃塞俄比亚三大甘蔗生产农业生态中的适应性和表型稳定性，并通过 GGE 双图分析确定基因型评估的理想地点。试验为期 3 年，涉及三个作物周期或三次扦插，分别与代表九种环境（地点-扦插组合）的甘蔗、第一和第二轮作物相对应。从试验中收集了可回收糖度（ERS）、甘蔗产量（CY）（吨/公顷）和糖产量（SY）（吨/公顷）的数据，并进行了方差分析和 GGE [基因型（G）加基因型-环境（GE）] 双图分析。方差分析结果表明，基因型与环境的交互作用（GEI）分别占ERS、CY和SY总变异的42.74%、54.70%和60.52%，表明GEI变异在所有性状的总变异中占有相当大的比例。ERS 的广义遗传力（H2）较高（79.28），而 SY 的广义遗传力（H2）极低（2.90），这表明很难通过简单的表型选择来改善该性状。ERS、CY 和 SY 的 GGE 双图显示，前两个主成分（PCs）分别解释了总变异的 59.01%、80.54% 和 71.73%。GGE 双图谱分析还显示，所有地点的作物周期之间在所有测量性状上都存在较高的正相关性，这意味着对不同地点的基因型进行评估，比测试育成能力更能提供有关基因型表现的可靠信息。梅特哈拉（Metehara）这个地点既有区分度又有代表性，被认为是评估基因型的理想地点。基因型 G1（PSR-9784）和 G7（VMC95-252）在甘蔗产量（152 吨/公顷和 142 吨/公顷）和糖产量（18 吨/公顷和 18 吨/公顷）方面具有较高的平均表现，并且在不同环境下具有稳定性，因此被推荐为理想的基因型。这些基因型可在研究地点或类似的农业生态环境中进行商业化种植。

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来源期刊

Agricultural Research AGRONOMY-

CiteScore

3.80

自引率

0.00%

发文量

期刊介绍： The main objective of this initiative is to promote agricultural research and development. The journal will publish high quality original research papers and critical reviews on emerging fields and concepts for providing future directions. The publications will include both applied and basic research covering the following disciplines of agricultural sciences: Genetic resources, genetics and breeding, biotechnology, physiology, biochemistry, management of biotic and abiotic stresses, and nutrition of field crops, horticultural crops, livestock and fishes; agricultural meteorology, environmental sciences, forestry and agro forestry, agronomy, soils and soil management, microbiology, water management, agricultural engineering and technology, agricultural policy, agricultural economics, food nutrition, agricultural statistics, and extension research; impact of climate change and the emerging technologies on agriculture, and the role of agricultural research and innovation for development.