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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agrobiologia. Para informações adicionais entre em contato com cnpab.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agrobiologia. |
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Data corrente: |
21/05/2021 |
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Data da última atualização: |
28/08/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SANTOS, F. M.; TERRA, G.; MONTE, M. A.; CHAER, G. M. |
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Afiliação: |
FELIPE MARTINI SANTOS, UFRRJ; GILBERTO TERRA, Sucupira Agroforestas, Valença, BA; MARCO ANTONIO MONTE, UFRRJ; GUILHERME MONTANDON CHAER, CNPAB. |
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Título: |
Growth, yield and stem form of young African mahoganies (Khaya spp.) in mixed species plantations and successional agroforestry systems. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
New Forests, v. 53, p. 181-202, 2022. |
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ISSN: |
0169-4286 |
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DOI: |
https://doi.org/10.1007/s11056-021-09850-5 |
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Idioma: |
Inglês |
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Conteúdo: |
African mahoganies can be an alternative for wood production in agroforestry systems and/or mixed-species plantations. In this study, we aimed to evaluate the growth, yield and stem form of Khaya grandifoliola C. DC. and Khaya ivorensis A. Chev. established in successional agroforestry systems and in mixed plantations of both species. A randomized block experiment was set up with the following treatments: (T1) mixed plantation of African mahoganies with elimination of regenerating community by herbicide application; (T2) mixed plantation of African mahoganies with selective management of regenerating community; (T3) agroforestry system including African mahoganies with elimination of regenerating community, through mowing operations (non-selective); and (T4) agroforestry system including African mahoganies with selective management of regenerating community. The results shown a higher growth rate of both Khaya species in T1, especially in relation to T2, possibly due to the more effective herbicide control of the dominant invasive species. The structural complexity, diversity and pruning regime of the regenerating plants in the T4 treatment possibly caused positive benefits in the Khaya trees growth. It is possible that Khaya trees captured part of the fertilizer intended for the food crops, although this effect is more pronounced for K. ivorensis. The stemwood volume stocks in T1 and T4 treatments were similar for both species. The total mean annual increments of volume at 58 months were: 3.3 m3 ha−1 year−1, 1.3 m3 ha−1 year−1, 2.2 m3 ha−1 year−1, and 2.8 m3 ha−1 year−1, for the T1 to T4, respectively. K. grandifoliola had higher height and DBH growth rates than K. ivorensis. However, K. ivorensis trees produced straighter stems, with desirable use to sawmilling MenosAfrican mahoganies can be an alternative for wood production in agroforestry systems and/or mixed-species plantations. In this study, we aimed to evaluate the growth, yield and stem form of Khaya grandifoliola C. DC. and Khaya ivorensis A. Chev. established in successional agroforestry systems and in mixed plantations of both species. A randomized block experiment was set up with the following treatments: (T1) mixed plantation of African mahoganies with elimination of regenerating community by herbicide application; (T2) mixed plantation of African mahoganies with selective management of regenerating community; (T3) agroforestry system including African mahoganies with elimination of regenerating community, through mowing operations (non-selective); and (T4) agroforestry system including African mahoganies with selective management of regenerating community. The results shown a higher growth rate of both Khaya species in T1, especially in relation to T2, possibly due to the more effective herbicide control of the dominant invasive species. The structural complexity, diversity and pruning regime of the regenerating plants in the T4 treatment possibly caused positive benefits in the Khaya trees growth. It is possible that Khaya trees captured part of the fertilizer intended for the food crops, although this effect is more pronounced for K. ivorensis. The stemwood volume stocks in T1 and T4 treatments were similar for both species. The total mean annual increments of volume at ... Mostrar Tudo |
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Palavras-Chave: |
Khaya grandifoliola; Khaya ivorensi; Stem quality; Stemwood production. |
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Thesaurus Nal: |
Intercropping; Khaya; Khaya ivorensis. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02651naa a2200265 a 4500
001 2131952
005 2023-08-28
008 2022 bl uuuu u00u1 u #d
022 $a0169-4286
024 7 $ahttps://doi.org/10.1007/s11056-021-09850-5$2DOI
100 1 $aSANTOS, F. M.
245 $aGrowth, yield and stem form of young African mahoganies (Khaya spp.) in mixed species plantations and successional agroforestry systems.$h[electronic resource]
260 $c2022
520 $aAfrican mahoganies can be an alternative for wood production in agroforestry systems and/or mixed-species plantations. In this study, we aimed to evaluate the growth, yield and stem form of Khaya grandifoliola C. DC. and Khaya ivorensis A. Chev. established in successional agroforestry systems and in mixed plantations of both species. A randomized block experiment was set up with the following treatments: (T1) mixed plantation of African mahoganies with elimination of regenerating community by herbicide application; (T2) mixed plantation of African mahoganies with selective management of regenerating community; (T3) agroforestry system including African mahoganies with elimination of regenerating community, through mowing operations (non-selective); and (T4) agroforestry system including African mahoganies with selective management of regenerating community. The results shown a higher growth rate of both Khaya species in T1, especially in relation to T2, possibly due to the more effective herbicide control of the dominant invasive species. The structural complexity, diversity and pruning regime of the regenerating plants in the T4 treatment possibly caused positive benefits in the Khaya trees growth. It is possible that Khaya trees captured part of the fertilizer intended for the food crops, although this effect is more pronounced for K. ivorensis. The stemwood volume stocks in T1 and T4 treatments were similar for both species. The total mean annual increments of volume at 58 months were: 3.3 m3 ha−1 year−1, 1.3 m3 ha−1 year−1, 2.2 m3 ha−1 year−1, and 2.8 m3 ha−1 year−1, for the T1 to T4, respectively. K. grandifoliola had higher height and DBH growth rates than K. ivorensis. However, K. ivorensis trees produced straighter stems, with desirable use to sawmilling
650 $aIntercropping
650 $aKhaya
650 $aKhaya ivorensis
653 $aKhaya grandifoliola
653 $aKhaya ivorensi
653 $aStem quality
653 $aStemwood production
700 1 $aTERRA, G.
700 1 $aMONTE, M. A.
700 1 $aCHAER, G. M.
773 $tNew Forests$gv. 53, p. 181-202, 2022.
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Registro original: |
Embrapa Agrobiologia (CNPAB) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
26/07/2023 |
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Data da última atualização: |
02/08/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
MORAIS JUNIOR, O. P.; MÜLLER, B. S. F.; VALDISSER, P. A. M. R.; BRONDANI, C.; VIANELLO, R. P. |
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Afiliação: |
ODILON PEIXOTO MORAIS JUNIOR, UNIVERSIDADE FEDERAL DE GOIÁS; BÁRBARA S. F. MÜLLER, UNIVERSITY OF FLORIDA, Gainesville, FL; PAULA ARIELLE M RIBEIRO VALDISSER, CNPAF; CLAUDIO BRONDANI, CNPAF; ROSANA PEREIRA VIANELLO, CNPAF. |
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Título: |
Genomic prediction for drought tolerance using multienvironment data in a common bean (Phaseolus vulgaris) breeding program. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Crop Science, v. 63, n. 4, p. 2145-2161, July/Aug. 2023. |
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ISSN: |
0011-183X |
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DOI: |
https://doi.org/10.1002/csc2.21000 |
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Idioma: |
Inglês |
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Conteúdo: |
This work evaluated the efficiency of different genomic prediction (GP) methods in a diverse Mesoamerican panel of 339 common bean accessions, genotyped with 3398 SNP markers. Field experiments were carried out for three consecutive years, with adequate water supply (non-stress?NS) and water restriction imposition (water-stress?WS), analyzing seed weight (SW) and grain yield (GY). Two methods to predict the accuracies (r?g) were adopted (GBLUP and Bayes) and also considered the environmental variation (GBLUP-based reaction norm model). Similar accuracies were observed for both methods. For GY, the highest r?g were detected under NS (rgg = 0.49) in 2016 (r?g = 0.49) and in the joint analysis for the WS condition (rgg = 0.33), both for models using local landraces. For SW under NS, the rgg was higher for the elite lines (rgg = 0.72), whereas for WS, the rgg dropped considerably, ranging from 0.45 to 0.61 for the joint analysis, considering the landraces and all samples, respectively. For GY and SW, under NS, the rgg using both models increased with increasing number of SNPs, until reaching a plateau of 800 and 300 SNPs, respectively. Increasing the training population (TP) size resulted in greater accuracy. Taking in account the Genotype × Environment, the multienvironment model performed better especially for more complex traits (GY/NS: rgg = 0.32). The GP approach has great potential to help commercial bean breeding programs improving the performance of target quantitative traits. MenosThis work evaluated the efficiency of different genomic prediction (GP) methods in a diverse Mesoamerican panel of 339 common bean accessions, genotyped with 3398 SNP markers. Field experiments were carried out for three consecutive years, with adequate water supply (non-stress?NS) and water restriction imposition (water-stress?WS), analyzing seed weight (SW) and grain yield (GY). Two methods to predict the accuracies (r?g) were adopted (GBLUP and Bayes) and also considered the environmental variation (GBLUP-based reaction norm model). Similar accuracies were observed for both methods. For GY, the highest r?g were detected under NS (rgg = 0.49) in 2016 (r?g = 0.49) and in the joint analysis for the WS condition (rgg = 0.33), both for models using local landraces. For SW under NS, the rgg was higher for the elite lines (rgg = 0.72), whereas for WS, the rgg dropped considerably, ranging from 0.45 to 0.61 for the joint analysis, considering the landraces and all samples, respectively. For GY and SW, under NS, the rgg using both models increased with increasing number of SNPs, until reaching a plateau of 800 and 300 SNPs, respectively. Increasing the training population (TP) size resulted in greater accuracy. Taking in account the Genotype × Environment, the multienvironment model performed better especially for more complex traits (GY/NS: rgg = 0.32). The GP approach has great potential to help commercial bean breeding programs improving the performance of target quantitative t... Mostrar Tudo |
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Thesagro: |
Feijão; Melhoramento Genético Vegetal; Phaseolus Vulgaris; Resistência a Seca. |
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Thesaurus NAL: |
Beans; Breeding and Genetic Improvement; Drought tolerance; Genomics. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 02428naa a2200289 a 4500
001 2155303
005 2023-08-02
008 2023 bl uuuu u00u1 u #d
022 $a0011-183X
024 7 $ahttps://doi.org/10.1002/csc2.21000$2DOI
100 1 $aMORAIS JUNIOR, O. P.
245 $aGenomic prediction for drought tolerance using multienvironment data in a common bean (Phaseolus vulgaris) breeding program.$h[electronic resource]
260 $c2023
520 $aThis work evaluated the efficiency of different genomic prediction (GP) methods in a diverse Mesoamerican panel of 339 common bean accessions, genotyped with 3398 SNP markers. Field experiments were carried out for three consecutive years, with adequate water supply (non-stress?NS) and water restriction imposition (water-stress?WS), analyzing seed weight (SW) and grain yield (GY). Two methods to predict the accuracies (r?g) were adopted (GBLUP and Bayes) and also considered the environmental variation (GBLUP-based reaction norm model). Similar accuracies were observed for both methods. For GY, the highest r?g were detected under NS (rgg = 0.49) in 2016 (r?g = 0.49) and in the joint analysis for the WS condition (rgg = 0.33), both for models using local landraces. For SW under NS, the rgg was higher for the elite lines (rgg = 0.72), whereas for WS, the rgg dropped considerably, ranging from 0.45 to 0.61 for the joint analysis, considering the landraces and all samples, respectively. For GY and SW, under NS, the rgg using both models increased with increasing number of SNPs, until reaching a plateau of 800 and 300 SNPs, respectively. Increasing the training population (TP) size resulted in greater accuracy. Taking in account the Genotype × Environment, the multienvironment model performed better especially for more complex traits (GY/NS: rgg = 0.32). The GP approach has great potential to help commercial bean breeding programs improving the performance of target quantitative traits.
650 $aBeans
650 $aBreeding and Genetic Improvement
650 $aDrought tolerance
650 $aGenomics
650 $aFeijão
650 $aMelhoramento Genético Vegetal
650 $aPhaseolus Vulgaris
650 $aResistência a Seca
700 1 $aMÜLLER, B. S. F.
700 1 $aVALDISSER, P. A. M. R.
700 1 $aBRONDANI, C.
700 1 $aVIANELLO, R. P.
773 $tCrop Science$gv. 63, n. 4, p. 2145-2161, July/Aug. 2023.
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Embrapa Arroz e Feijão (CNPAF) |
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