Repeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for herbage production
In forage-plants breeding, the selection of superior genotypes has been undertaken through successive harvests in previously established intervals. However, this process involves many steps, the evaluation of many traits, and a great spending with costs and labor. Thus the estimate of the repeatabil...
Ausführliche Beschreibung
Autor*in: |
Erina Vitório Rodrigues [verfasserIn] Rogério Figueiredo Daher [verfasserIn] Geraldo de Amaral Gravina [verfasserIn] Alexandre Pio Viana [verfasserIn] Maria do Socorro Bezerra de Araújo [verfasserIn] Maria Lorraine Fonseca Oliveira [verfasserIn] Marcelo Vivas [verfasserIn] Bruna Rafaela da Silva Menezes [verfasserIn] Antônio Vander Pereira [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2020 |
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Schlagwörter: |
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Übergeordnetes Werk: |
In: Bioscience Journal - Universidade Federal de Uberlândia, 2020, 36(2020), 1 |
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Übergeordnetes Werk: |
volume:36 ; year:2020 ; number:1 |
Links: |
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DOI / URN: |
10.14393/BJ-v36n1a2020-42075 |
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Katalog-ID: |
DOAJ062918915 |
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10.14393/BJ-v36n1a2020-42075 doi (DE-627)DOAJ062918915 (DE-599)DOAJ8f9f27da3ddb4924a3f3fa5ec0d32327 DE-627 ger DE-627 rakwb eng QH301-705.5 Erina Vitório Rodrigues verfasserin aut Repeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for herbage production 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In forage-plants breeding, the selection of superior genotypes has been undertaken through successive harvests in previously established intervals. However, this process involves many steps, the evaluation of many traits, and a great spending with costs and labor. Thus the estimate of the repeatability is essential in improvement of perennials, it allows predicting genotypic value of the individual, the minimum number of evaluations in the selection of genotypes and minimizes resources and time in the selection of promising individuals. The objective of this study was to estimate the repeatability coefficient for morphological traits in elephant grass and determine the number of evaluations needed for phenotypic selection more efficient. The experimental randomized block design with 53 genotypes and two replications. The repeatability coefficients were estimated for variables plant height, number of tillers, stem diameter and dry matter yield, using the methods of Anova, Principal Components and Structural Analysis. We observed significant differences between genotypes (P <0.01) for all variables. The main components provide larger estimates of repeatability when compared to other methods. Estimates of the repeatability coefficients are of high magnitude average for the variables plant height (0.44) number of tillers (0.44) and stem diameter (0.63) and low magnitude for dry matter production (0.27). The Principal Components method requires five, five, two and eleven measurements for plant height, number of tillers, stem diameter and dry matter yield, respectively, with 80% reliability. pennisetum purpureum s. coefficient of determination main components dry matter yield Agriculture S Biology (General) Rogério Figueiredo Daher verfasserin aut Geraldo de Amaral Gravina verfasserin aut Alexandre Pio Viana verfasserin aut Maria do Socorro Bezerra de Araújo verfasserin aut Maria Lorraine Fonseca Oliveira verfasserin aut Marcelo Vivas verfasserin aut Bruna Rafaela da Silva Menezes verfasserin aut Antônio Vander Pereira verfasserin aut In Bioscience Journal Universidade Federal de Uberlândia, 2020 36(2020), 1 (DE-627)555692493 (DE-600)2401404-7 19813163 nnns volume:36 year:2020 number:1 https://doi.org/10.14393/BJ-v36n1a2020-42075 kostenfrei https://doaj.org/article/8f9f27da3ddb4924a3f3fa5ec0d32327 kostenfrei http://www.seer.ufu.br/index.php/biosciencejournal/article/view/42075 kostenfrei https://doaj.org/toc/1981-3163 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 36 2020 1 |
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10.14393/BJ-v36n1a2020-42075 doi (DE-627)DOAJ062918915 (DE-599)DOAJ8f9f27da3ddb4924a3f3fa5ec0d32327 DE-627 ger DE-627 rakwb eng QH301-705.5 Erina Vitório Rodrigues verfasserin aut Repeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for herbage production 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In forage-plants breeding, the selection of superior genotypes has been undertaken through successive harvests in previously established intervals. However, this process involves many steps, the evaluation of many traits, and a great spending with costs and labor. Thus the estimate of the repeatability is essential in improvement of perennials, it allows predicting genotypic value of the individual, the minimum number of evaluations in the selection of genotypes and minimizes resources and time in the selection of promising individuals. The objective of this study was to estimate the repeatability coefficient for morphological traits in elephant grass and determine the number of evaluations needed for phenotypic selection more efficient. The experimental randomized block design with 53 genotypes and two replications. The repeatability coefficients were estimated for variables plant height, number of tillers, stem diameter and dry matter yield, using the methods of Anova, Principal Components and Structural Analysis. We observed significant differences between genotypes (P <0.01) for all variables. The main components provide larger estimates of repeatability when compared to other methods. Estimates of the repeatability coefficients are of high magnitude average for the variables plant height (0.44) number of tillers (0.44) and stem diameter (0.63) and low magnitude for dry matter production (0.27). The Principal Components method requires five, five, two and eleven measurements for plant height, number of tillers, stem diameter and dry matter yield, respectively, with 80% reliability. pennisetum purpureum s. coefficient of determination main components dry matter yield Agriculture S Biology (General) Rogério Figueiredo Daher verfasserin aut Geraldo de Amaral Gravina verfasserin aut Alexandre Pio Viana verfasserin aut Maria do Socorro Bezerra de Araújo verfasserin aut Maria Lorraine Fonseca Oliveira verfasserin aut Marcelo Vivas verfasserin aut Bruna Rafaela da Silva Menezes verfasserin aut Antônio Vander Pereira verfasserin aut In Bioscience Journal Universidade Federal de Uberlândia, 2020 36(2020), 1 (DE-627)555692493 (DE-600)2401404-7 19813163 nnns volume:36 year:2020 number:1 https://doi.org/10.14393/BJ-v36n1a2020-42075 kostenfrei https://doaj.org/article/8f9f27da3ddb4924a3f3fa5ec0d32327 kostenfrei http://www.seer.ufu.br/index.php/biosciencejournal/article/view/42075 kostenfrei https://doaj.org/toc/1981-3163 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 36 2020 1 |
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10.14393/BJ-v36n1a2020-42075 doi (DE-627)DOAJ062918915 (DE-599)DOAJ8f9f27da3ddb4924a3f3fa5ec0d32327 DE-627 ger DE-627 rakwb eng QH301-705.5 Erina Vitório Rodrigues verfasserin aut Repeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for herbage production 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In forage-plants breeding, the selection of superior genotypes has been undertaken through successive harvests in previously established intervals. However, this process involves many steps, the evaluation of many traits, and a great spending with costs and labor. Thus the estimate of the repeatability is essential in improvement of perennials, it allows predicting genotypic value of the individual, the minimum number of evaluations in the selection of genotypes and minimizes resources and time in the selection of promising individuals. The objective of this study was to estimate the repeatability coefficient for morphological traits in elephant grass and determine the number of evaluations needed for phenotypic selection more efficient. The experimental randomized block design with 53 genotypes and two replications. The repeatability coefficients were estimated for variables plant height, number of tillers, stem diameter and dry matter yield, using the methods of Anova, Principal Components and Structural Analysis. We observed significant differences between genotypes (P <0.01) for all variables. The main components provide larger estimates of repeatability when compared to other methods. Estimates of the repeatability coefficients are of high magnitude average for the variables plant height (0.44) number of tillers (0.44) and stem diameter (0.63) and low magnitude for dry matter production (0.27). The Principal Components method requires five, five, two and eleven measurements for plant height, number of tillers, stem diameter and dry matter yield, respectively, with 80% reliability. pennisetum purpureum s. coefficient of determination main components dry matter yield Agriculture S Biology (General) Rogério Figueiredo Daher verfasserin aut Geraldo de Amaral Gravina verfasserin aut Alexandre Pio Viana verfasserin aut Maria do Socorro Bezerra de Araújo verfasserin aut Maria Lorraine Fonseca Oliveira verfasserin aut Marcelo Vivas verfasserin aut Bruna Rafaela da Silva Menezes verfasserin aut Antônio Vander Pereira verfasserin aut In Bioscience Journal Universidade Federal de Uberlândia, 2020 36(2020), 1 (DE-627)555692493 (DE-600)2401404-7 19813163 nnns volume:36 year:2020 number:1 https://doi.org/10.14393/BJ-v36n1a2020-42075 kostenfrei https://doaj.org/article/8f9f27da3ddb4924a3f3fa5ec0d32327 kostenfrei http://www.seer.ufu.br/index.php/biosciencejournal/article/view/42075 kostenfrei https://doaj.org/toc/1981-3163 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 36 2020 1 |
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QH301-705.5 Repeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for herbage production pennisetum purpureum s. coefficient of determination main components dry matter yield |
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Repeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for herbage production |
abstract |
In forage-plants breeding, the selection of superior genotypes has been undertaken through successive harvests in previously established intervals. However, this process involves many steps, the evaluation of many traits, and a great spending with costs and labor. Thus the estimate of the repeatability is essential in improvement of perennials, it allows predicting genotypic value of the individual, the minimum number of evaluations in the selection of genotypes and minimizes resources and time in the selection of promising individuals. The objective of this study was to estimate the repeatability coefficient for morphological traits in elephant grass and determine the number of evaluations needed for phenotypic selection more efficient. The experimental randomized block design with 53 genotypes and two replications. The repeatability coefficients were estimated for variables plant height, number of tillers, stem diameter and dry matter yield, using the methods of Anova, Principal Components and Structural Analysis. We observed significant differences between genotypes (P <0.01) for all variables. The main components provide larger estimates of repeatability when compared to other methods. Estimates of the repeatability coefficients are of high magnitude average for the variables plant height (0.44) number of tillers (0.44) and stem diameter (0.63) and low magnitude for dry matter production (0.27). The Principal Components method requires five, five, two and eleven measurements for plant height, number of tillers, stem diameter and dry matter yield, respectively, with 80% reliability. |
abstractGer |
In forage-plants breeding, the selection of superior genotypes has been undertaken through successive harvests in previously established intervals. However, this process involves many steps, the evaluation of many traits, and a great spending with costs and labor. Thus the estimate of the repeatability is essential in improvement of perennials, it allows predicting genotypic value of the individual, the minimum number of evaluations in the selection of genotypes and minimizes resources and time in the selection of promising individuals. The objective of this study was to estimate the repeatability coefficient for morphological traits in elephant grass and determine the number of evaluations needed for phenotypic selection more efficient. The experimental randomized block design with 53 genotypes and two replications. The repeatability coefficients were estimated for variables plant height, number of tillers, stem diameter and dry matter yield, using the methods of Anova, Principal Components and Structural Analysis. We observed significant differences between genotypes (P <0.01) for all variables. The main components provide larger estimates of repeatability when compared to other methods. Estimates of the repeatability coefficients are of high magnitude average for the variables plant height (0.44) number of tillers (0.44) and stem diameter (0.63) and low magnitude for dry matter production (0.27). The Principal Components method requires five, five, two and eleven measurements for plant height, number of tillers, stem diameter and dry matter yield, respectively, with 80% reliability. |
abstract_unstemmed |
In forage-plants breeding, the selection of superior genotypes has been undertaken through successive harvests in previously established intervals. However, this process involves many steps, the evaluation of many traits, and a great spending with costs and labor. Thus the estimate of the repeatability is essential in improvement of perennials, it allows predicting genotypic value of the individual, the minimum number of evaluations in the selection of genotypes and minimizes resources and time in the selection of promising individuals. The objective of this study was to estimate the repeatability coefficient for morphological traits in elephant grass and determine the number of evaluations needed for phenotypic selection more efficient. The experimental randomized block design with 53 genotypes and two replications. The repeatability coefficients were estimated for variables plant height, number of tillers, stem diameter and dry matter yield, using the methods of Anova, Principal Components and Structural Analysis. We observed significant differences between genotypes (P <0.01) for all variables. The main components provide larger estimates of repeatability when compared to other methods. Estimates of the repeatability coefficients are of high magnitude average for the variables plant height (0.44) number of tillers (0.44) and stem diameter (0.63) and low magnitude for dry matter production (0.27). The Principal Components method requires five, five, two and eleven measurements for plant height, number of tillers, stem diameter and dry matter yield, respectively, with 80% reliability. |
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Repeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for herbage production |
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However, this process involves many steps, the evaluation of many traits, and a great spending with costs and labor. Thus the estimate of the repeatability is essential in improvement of perennials, it allows predicting genotypic value of the individual, the minimum number of evaluations in the selection of genotypes and minimizes resources and time in the selection of promising individuals. The objective of this study was to estimate the repeatability coefficient for morphological traits in elephant grass and determine the number of evaluations needed for phenotypic selection more efficient. The experimental randomized block design with 53 genotypes and two replications. The repeatability coefficients were estimated for variables plant height, number of tillers, stem diameter and dry matter yield, using the methods of Anova, Principal Components and Structural Analysis. We observed significant differences between genotypes (P <0.01) for all variables. The main components provide larger estimates of repeatability when compared to other methods. Estimates of the repeatability coefficients are of high magnitude average for the variables plant height (0.44) number of tillers (0.44) and stem diameter (0.63) and low magnitude for dry matter production (0.27). 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