Analysis of variation and interrelationships in potato germplasm

Birhman, R. K.; Kang, G. S.

doi:10.1007/bf00024150

Cited by 7 publications

(7 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The characters often highlighted in this regard were number of tubers, tuber weight, plant height, and number of big sized tubers (Maity and Chattarzee 1977, Gunel et al 1991, Birhman and Kang 1993, Yildirim et al 1997, Bhagowati and Saikia 2003, Tuncturk and ÇiftÇi 2005. The sequential path model not only indicated that other characters, namely, number of main and secondary stems per plant, diameter of main stems, and tuber dry matter concentration, exercise their influence as second-order variables but also provided a better understanding of their relative contributions to the first-order variables.…”

Section: Resultsmentioning

confidence: 97%

Sequential Path Analysis of Yield Components in Potato

Zakaria

Fathi²,

Hasanpanah³

2007

Potato Res.

View full text Add to dashboard Cite

In order to determine proper selection criteria for tuber yield in potato clones obtained from true potato seed (TPS) and to evaluate relationships between tuber yield and its components, an investigation was conducted using the five check cultivars Agria, Marfona, Draga, Agata, and Arinda, and 120 potato clones obtained from TPS. The study was conducted in an augmented randomized complete block design with three replications. Yield and its components were recorded. Correlation coefficient analysis showed that tuber yield had significant positive associations with number of tubers per plant, average weight per tuber (tuber size), plant height, diameter of main stem, and number of main and secondary stems per plant, whereas its correlation with tuber dry-matter concentration was significantly negative. Number of tubers per plant, tuber size, and plant height had significant standardized partial regression coefficients with very small tolerance and large variance inflation factor (VIF) values. These were considered as the first-order variables in sequential path analysis.

show abstract

Section: Resultsmentioning

confidence: 97%

Sequential Path Analysis of Yield Components in Potato

Zakaria

Fathi²,

Hasanpanah³

2007

Potato Res.

View full text Add to dashboard Cite

show abstract

“…Correlações positivas e significativas entre produção de tubérculos e seus componentes têm sido relatadas (Tai, 1975), embora haja também registro de ausência ou, até mesmo, associação negativa (Birhman & Kang, 1993). Os resultados do presente trabalho indicam que, entre as características envolvidas no desdobramento das correlações, o número e o peso médio de tubérculos foram as principais causas explicativas dos seus respectivos valores de correlação com a produção, conforme revelam seus elevados coeficientes.…”

Section: Geraçãounclassified

Correlações inter e intragerações e herdabilidade de cor de chips, matéria seca e produção em batata

Rodrigues

Pereira

2003

Pesq. agropec. bras.

View full text Add to dashboard Cite

Resumo -Os objetivos deste trabalho foram determinar correlações inter e intragerações clonais, estimar herdabilidade quanto à cor de chips, teor de matéria seca e produção de batata, e suas implicações na seleção. Duzentos e cinqüenta clones de dez famílias foram escolhidos aleatoriamente de uma população de primeira geração clonal, destinada ao processamento de batatas chips, do programa de melhoramento genético de batata da Embrapa-Centro de Pesquisa Agropecuária de Clima Temperado. Os clones foram avaliados em segunda (G2), terceira (G3) e quarta (G4) gerações, respectivamente, no outono e primavera de 1999, e outono de 2000, em Pelotas, RS. Os coeficientes de correlação entre gerações e as estimativas de herdabilidade dentro das gerações clonais foram baixas em relação à cor de chips, baixas a moderadas quanto à matéria seca e incrementais com as gerações nos componentes de produção. Os coeficientes de correlação entre as características de qualidade e os componentes de produção dentro de cada geração foram baixos e, na maioria, não-significativos. As estimativas de herdabilidade dos dados conjuntos da G3 e G4 foram moderada, moderadamente alta e alta, respectivamente, em relação à cor de chips, teor de matéria seca e produção.Termos para indexação: Solanum tuberosum, clone, seleção, método de melhoramento. Correlations between and within generations and heritability of chips color, dry matter and yield in potatoesAbstract -The objectives of this work were to determine correlations between and within clonal generation, to estimate heritability for chips color, dry matter content and yield of potatoes, and their implications on selection. Two hundred and fifty clones of ten families were randomly chosen from a first clonal population, directed to chips processing, of the potato breeding program of EmbrapaCentro de Pesquisa Agropecuária de Clima Temperado. The clones were evaluated in second (G2), third (G3) and fourth (G4) generations during autumn and spring of 1999 and autumn of 2000, respectively, in Pelotas, RS. The coefficients of correlation between generations and the estimates of heritability within clonal generations were low for chips color, low to moderate for dry matter and incremental with generations for yield components. The coefficients of correlations between quality and yield component traits within each generation were low and, the majority, non significant. The estimates of heritability of joint G3 and G4 data analysis were moderate, moderately high and high, respectively, for chip color, dry matter content and yield.

show abstract

“…Yield is a complex character associated with many interrelated components (Murat & Vahdettin, 2004). Previous reports by Birhman & Kang (1993); Amadi (2005) and Amadi & Ene-Obong (2007) showed that simple correlation coefficients were useful to study the interrelationships between tuber yield and other characters. However, information about the correlation of agronomic and morphological characters with yields is helpful in the identification of the components of this complex character, yet these do not provide precise information on the relative importance of direct and indirect influences of each of the component characters.…”

Section: Introductionmentioning

confidence: 96%

Correlation and path coefficient analysis between yield and yield components in potato (Solanum tuberosum L.)

2014

View full text Add to dashboard Cite

The associations of yield and its components offer important information in breeding plants. A study was conducted at the Araka Agricultural Research Center, Hossana, Ethiopia during 2012 growing season under rain fed condition on 18 potato genotypes/varieties to determine the association of yield and its components. The association was analyzed by correlation coefficient, and further subjected by path coefficient analysis to estimate direct and indirect effects of each character on tuber yield. Positive and significant correlation were found between tuber yield and biological yield, plant height and tuber yield, stems per plant and tuber per plant. The genotypic correlation coefficients were higher than the corresponding phenotypic correlation coefficients for most of the characters indicating the inherent association among the characters. Path analysis of tuber yield and its components shows that stems per plant, biological yield and harvest index exerted positive highest direct influence on tuber yield indicating their importance as selection index for yield improvement.

show abstract

Analysis of variation and interrelationships in potato germplasm

Cited by 7 publications

References 22 publications

Sequential Path Analysis of Yield Components in Potato

Sequential Path Analysis of Yield Components in Potato

Correlações inter e intragerações e herdabilidade de cor de chips, matéria seca e produção em batata

Correlation and path coefficient analysis between yield and yield components in potato (Solanum tuberosum L.)

Contact Info

Product

Resources

About