Esayas Tena, Feyissa Tadesse, Diribu Tesfaye, Feven Million
{"title":"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","authors":"Esayas Tena, Feyissa Tadesse, Diribu Tesfaye, Feven Million","doi":"10.1007/s40003-024-00721-x","DOIUrl":null,"url":null,"abstract":"<div><p>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 (<i>G</i>) 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 (<i>H</i><sup>2</sup>) 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.</p></div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"13 3","pages":"563 - 573"},"PeriodicalIF":1.4000,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"GGE Biplot Analysis of Exotic Sugarcane Genotypes in Major Sugarcane Producing Agro-ecologies of Ethiopia\",\"authors\":\"Esayas Tena, Feyissa Tadesse, Diribu Tesfaye, Feven Million\",\"doi\":\"10.1007/s40003-024-00721-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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 (<i>G</i>) 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 (<i>H</i><sup>2</sup>) 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. 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GGE Biplot Analysis of Exotic Sugarcane Genotypes in Major Sugarcane Producing Agro-ecologies of Ethiopia
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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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.
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