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Registro Completo |
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
14/04/2011 |
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Data da última atualização: |
14/04/2011 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MALEIA, M. P.; VIDIGAL FILHO, P. S.; KVITSCHAL, M. V.; GONÇALVES-VIDIGAL, M. C. |
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Afiliação: |
Epagri |
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Título: |
Stability and adaptability of commercial cotton cultivars (Gossypium hirsutum L. race latifolium H.) in Mozambique. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
African Journal of Agricultural Research, Victoria Island, v. 5, n. 7, p. 539-550, 2010. |
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Idioma: |
Português |
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Notas: |
ISSN, 1991-637X |
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Conteúdo: |
Cotton, which is also known as ?white gold?, is an important crop in many developing countries. The crop yield is dependent on the environment in which it is grown. One of the major challenges for cultivar recommendation is the genotype x environment interaction when the performance ranking of genotypes over environments is not constant. The identification of cultivars with high adaptability and stability to the growing conditions is an option to deal with this fact. The objective of the present study was to assess the yield stability and adaptability of commercial cotton cultivars (Gossypium hirsutum L. race
latifolium H.) in Mozambique. The experiments were set up over three years in Namialo, Montepuez and Morrumbala, in a total of seven environments. Plots were established in a randomized complete block design with four replications of nine treatments. The stability and adaptability were assessed using methodologies by Annicchiarico and Toler and Burrows. The joint analysis of variance showed that there were high environmental variation and high effect of cultivar x environment interaction. The cultivars ISA 205, STAM 42 and IRMA 12-43 showed greater phenotypic stability for cottonseed yield,
according to the Annicchiarico method. Regarding the Toler and Burrows methodology, the cultivar STAM 42 presented specific adaptation to low quality environments, while the cultivar CA 324 presented specific adaptation to high quality environments.
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Palavras-Chave: |
Confidence index; Cottonseed productivity; Genotype x environment interaction; Non-linear regression. |
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Categoria do assunto: |
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Marc: |
LEADER 02078naa a2200181 a 4500
001 1075712
005 2011-04-14
008 2010 bl uuuu u00u1 u #d
100 1 $aEpagri
245 $aStability and adaptability of commercial cotton cultivars (Gossypium hirsutum L. race latifolium H.) in Mozambique.
260 $c2010
500 $aISSN, 1991-637X
520 $aCotton, which is also known as ?white gold?, is an important crop in many developing countries. The crop yield is dependent on the environment in which it is grown. One of the major challenges for cultivar recommendation is the genotype x environment interaction when the performance ranking of genotypes over environments is not constant. The identification of cultivars with high adaptability and stability to the growing conditions is an option to deal with this fact. The objective of the present study was to assess the yield stability and adaptability of commercial cotton cultivars (Gossypium hirsutum L. race latifolium H.) in Mozambique. The experiments were set up over three years in Namialo, Montepuez and Morrumbala, in a total of seven environments. Plots were established in a randomized complete block design with four replications of nine treatments. The stability and adaptability were assessed using methodologies by Annicchiarico and Toler and Burrows. The joint analysis of variance showed that there were high environmental variation and high effect of cultivar x environment interaction. The cultivars ISA 205, STAM 42 and IRMA 12-43 showed greater phenotypic stability for cottonseed yield, according to the Annicchiarico method. Regarding the Toler and Burrows methodology, the cultivar STAM 42 presented specific adaptation to low quality environments, while the cultivar CA 324 presented specific adaptation to high quality environments.
653 $aConfidence index
653 $aCottonseed productivity
653 $aGenotype x environment interaction
653 $aNon-linear regression
773 $tAfrican Journal of Agricultural Research, Victoria Island$gv. 5, n. 7, p. 539-550, 2010.
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
09/04/2013 |
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Data da última atualização: |
09/04/2013 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
-- - -- |
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Autoria: |
COSTA, T. R.; VIDIGAL FILHO, P. S.; GONÇALVES-VIDIGAL, M. C.; GALVÁN, M. Z.; LACANALLO, G. F.; SILVA, L. I.; KVITSCHAL, M. V. |
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Afiliação: |
Epagri |
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Título: |
Genetic diversity and population structure of sweet cassava using simple sequence repeat SSR molecular markers. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
African Journal of Biotechnology, Nairobi, v. 12, n. 10, p. 1040-1048, 2013. |
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Idioma: |
Português |
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Conteúdo: |
The objective of this study was to evaluate the population structure and genetic diversity among 66 sweet cassava (Manihot esculenta Crantz) traditional accessions collected in Maringa, Parana, Brazil, using microsatellite molecular markers. Population structure was analyzed by means of genetic distances and probabilistic models; allelic frequencies were used in order to assess the genetic diversity indexes (Ht, Ho, PIC, % polymorphism and number of alleles) for each locus studied. All evaluated loci were polymorphic and the average was highly heterozygote. The number of alleles per locus was low, suggesting that restrict genetic base is a consequence of accession exchange and a reduced number of ancestors in the population. The polymorphic information content (PIC) values showed considerable genetic diversity with a mean value of 0.5076 and peak of 0.5707 for locus GA140. The microsatellites markers revealed a wide genetic variability among the traditional accessions evaluated. Moreover, the sweet cassava populations were separated in two groups using two analytical methods (probabilistic and genetic distances). The most divergent accessions were BGM 17, BGM 20, BGM 51 and BGM 95. On the other hand, the most similar accessions were BGM 25, BGM 33, BGM 37, BGM 59 and BGM 214. Hybrid combinations formed by the most divergent combinations, especially between BGM 51 × BGM 296, BGM 95 × BGM 222 and BGM 20 × BGM 12, are the most promising ones for future sweet cassava breeding programs. MenosThe objective of this study was to evaluate the population structure and genetic diversity among 66 sweet cassava (Manihot esculenta Crantz) traditional accessions collected in Maringa, Parana, Brazil, using microsatellite molecular markers. Population structure was analyzed by means of genetic distances and probabilistic models; allelic frequencies were used in order to assess the genetic diversity indexes (Ht, Ho, PIC, % polymorphism and number of alleles) for each locus studied. All evaluated loci were polymorphic and the average was highly heterozygote. The number of alleles per locus was low, suggesting that restrict genetic base is a consequence of accession exchange and a reduced number of ancestors in the population. The polymorphic information content (PIC) values showed considerable genetic diversity with a mean value of 0.5076 and peak of 0.5707 for locus GA140. The microsatellites markers revealed a wide genetic variability among the traditional accessions evaluated. Moreover, the sweet cassava populations were separated in two groups using two analytical methods (probabilistic and genetic distances). The most divergent accessions were BGM 17, BGM 20, BGM 51 and BGM 95. On the other hand, the most similar accessions were BGM 25, BGM 33, BGM 37, BGM 59 and BGM 214. Hybrid combinations formed by the most divergent combinations, especially between BGM 51 × BGM 296, BGM 95 × BGM 222 and BGM 20 × BGM 12, are the most promising ones for future sweet cassava breeding pr... Mostrar Tudo |
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Palavras-Chave: |
Genetic diversity; Manihot esculenta Crantz; Microsatellite markers. |
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Categoria do assunto: |
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Marc: |
LEADER 02238naa a2200229 a 4500
001 1088997
005 2013-04-09
008 2013 bl uuuu u00u1 u #d
100 1 $aCOSTA, T. R.
245 $aGenetic diversity and population structure of sweet cassava using simple sequence repeat SSR molecular markers.
260 $c2013
520 $aThe objective of this study was to evaluate the population structure and genetic diversity among 66 sweet cassava (Manihot esculenta Crantz) traditional accessions collected in Maringa, Parana, Brazil, using microsatellite molecular markers. Population structure was analyzed by means of genetic distances and probabilistic models; allelic frequencies were used in order to assess the genetic diversity indexes (Ht, Ho, PIC, % polymorphism and number of alleles) for each locus studied. All evaluated loci were polymorphic and the average was highly heterozygote. The number of alleles per locus was low, suggesting that restrict genetic base is a consequence of accession exchange and a reduced number of ancestors in the population. The polymorphic information content (PIC) values showed considerable genetic diversity with a mean value of 0.5076 and peak of 0.5707 for locus GA140. The microsatellites markers revealed a wide genetic variability among the traditional accessions evaluated. Moreover, the sweet cassava populations were separated in two groups using two analytical methods (probabilistic and genetic distances). The most divergent accessions were BGM 17, BGM 20, BGM 51 and BGM 95. On the other hand, the most similar accessions were BGM 25, BGM 33, BGM 37, BGM 59 and BGM 214. Hybrid combinations formed by the most divergent combinations, especially between BGM 51 × BGM 296, BGM 95 × BGM 222 and BGM 20 × BGM 12, are the most promising ones for future sweet cassava breeding programs.
653 $aGenetic diversity
653 $aManihot esculenta Crantz
653 $aMicrosatellite markers
700 1 $aVIDIGAL FILHO, P. S.
700 1 $aGONÇALVES-VIDIGAL, M. C.
700 1 $aGALVÁN, M. Z.
700 1 $aLACANALLO, G. F.
700 1 $aSILVA, L. I.
700 1 $aKVITSCHAL, M. V.
773 $tAfrican Journal of Biotechnology, Nairobi$gv. 12, n. 10, p. 1040-1048, 2013.
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