Missing Plants Effects and Stand Correction Methods in <i>Coffea arabica</i> Progeny Experiments

Plant loss occasionally occurs in field experiments with coffee crops in experimental plots. In breeding programs, such loss can be harmful, especially when the corresponding statistical analyses are not consistent with the experimentally generated data. Herein, we analyzed productivity data to dete...

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Main Authors: César Elias Botelho, Vinicius Teixeira Andrade, Juliana Costa de Rezende Abrahão, Flávia Maria Avelar Gonçalves
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Agronomy
Subjects:
Online Access:https://www.mdpi.com/2073-4395/13/9/2374
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author César Elias Botelho
Vinicius Teixeira Andrade
Juliana Costa de Rezende Abrahão
Flávia Maria Avelar Gonçalves
author_facet César Elias Botelho
Vinicius Teixeira Andrade
Juliana Costa de Rezende Abrahão
Flávia Maria Avelar Gonçalves
author_sort César Elias Botelho
collection DOAJ
description Plant loss occasionally occurs in field experiments with coffee crops in experimental plots. In breeding programs, such loss can be harmful, especially when the corresponding statistical analyses are not consistent with the experimentally generated data. Herein, we analyzed productivity data to determine whether the compensatory effect occurs in coffee crops, evaluated the need to correct experimental failures, and identified the best stand correction method. We used productivity data from six harvests of eleven experiments with <i>Coffea arabica</i> plants. The experiments were implemented in a randomized block design, with four replications and six plants per plot. The following stand correction methods were evaluated: rule of three; Zuber; Vencovsky and Cruz covariance of the average or ideal stands; and Cruz, and the data were compared without correction adjustments. The most adequate correction methods were selected based on genetic variance, selective accuracy, and progeny ordering. The compensatory effect was evident from the analyzed data, with stand correction being evidenced as beneficial in progeny competition experiments. The best results were obtained for the covariance methods using average or ideal stands, followed by the method proposed by Cruz. The rule of three and Zuber method exhibited unsatisfactory results and are not recommended for stand correction in progeny competition experiments with coffee crops.
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spelling doaj.art-34a4671b47cb491997fee35e9ad9c5a82023-11-19T09:11:23ZengMDPI AGAgronomy2073-43952023-09-01139237410.3390/agronomy13092374Missing Plants Effects and Stand Correction Methods in <i>Coffea arabica</i> Progeny ExperimentsCésar Elias Botelho0Vinicius Teixeira Andrade1Juliana Costa de Rezende Abrahão2Flávia Maria Avelar Gonçalves3Southern Minas Regional Unit, Minas Gerais Agricultural Research Agency (Epamig), Lavras 37200-900, MG, BrazilSouthern Minas Regional Unit, Minas Gerais Agricultural Research Agency (Epamig), Lavras 37200-900, MG, BrazilSouthern Minas Regional Unit, Minas Gerais Agricultural Research Agency (Epamig), Lavras 37200-900, MG, BrazilDepartment of Biology, Federal University of Lavras (UFLA), Lavras 37200-900, MG, BrazilPlant loss occasionally occurs in field experiments with coffee crops in experimental plots. In breeding programs, such loss can be harmful, especially when the corresponding statistical analyses are not consistent with the experimentally generated data. Herein, we analyzed productivity data to determine whether the compensatory effect occurs in coffee crops, evaluated the need to correct experimental failures, and identified the best stand correction method. We used productivity data from six harvests of eleven experiments with <i>Coffea arabica</i> plants. The experiments were implemented in a randomized block design, with four replications and six plants per plot. The following stand correction methods were evaluated: rule of three; Zuber; Vencovsky and Cruz covariance of the average or ideal stands; and Cruz, and the data were compared without correction adjustments. The most adequate correction methods were selected based on genetic variance, selective accuracy, and progeny ordering. The compensatory effect was evident from the analyzed data, with stand correction being evidenced as beneficial in progeny competition experiments. The best results were obtained for the covariance methods using average or ideal stands, followed by the method proposed by Cruz. The rule of three and Zuber method exhibited unsatisfactory results and are not recommended for stand correction in progeny competition experiments with coffee crops.https://www.mdpi.com/2073-4395/13/9/2374<i>Coffea arabica</i>stand correctioncompensatory effectunbalanced experiments
spellingShingle César Elias Botelho
Vinicius Teixeira Andrade
Juliana Costa de Rezende Abrahão
Flávia Maria Avelar Gonçalves
Missing Plants Effects and Stand Correction Methods in <i>Coffea arabica</i> Progeny Experiments
Agronomy
<i>Coffea arabica</i>
stand correction
compensatory effect
unbalanced experiments
title Missing Plants Effects and Stand Correction Methods in <i>Coffea arabica</i> Progeny Experiments
title_full Missing Plants Effects and Stand Correction Methods in <i>Coffea arabica</i> Progeny Experiments
title_fullStr Missing Plants Effects and Stand Correction Methods in <i>Coffea arabica</i> Progeny Experiments
title_full_unstemmed Missing Plants Effects and Stand Correction Methods in <i>Coffea arabica</i> Progeny Experiments
title_short Missing Plants Effects and Stand Correction Methods in <i>Coffea arabica</i> Progeny Experiments
title_sort missing plants effects and stand correction methods in i coffea arabica i progeny experiments
topic <i>Coffea arabica</i>
stand correction
compensatory effect
unbalanced experiments
url https://www.mdpi.com/2073-4395/13/9/2374
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