Yield Stability Studies in Soyabeans (<i>Glycine Max</i>)

Funnah, S. M.; Mak, C.

doi:10.1017/s0014479700012047

Cited by 11 publications

(10 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…73 In different studies, Francis and Kannenberg 72 method was found most useful and informative compared with other stability parameters. 34,74,75 A positive correlation was also found between b i and CV. 41 Coefficient of determination:…”

Section: Joint Regression and Qtl Mappingmentioning

confidence: 86%

An Overview on the Use of Stability Parameters in Plant Breeding

Fasahat¹

2015

BBIJ

View full text Add to dashboard Cite

The phenotype of an individual depends upon both the genetic make-up and environmental influences. Genotype × environment interaction is considered as an important source of discrepancy in any crop, and different methods have been used to distinguish genotypes for their behavior in different environmental conditions. These constitute univariate parametric, such as environmental variance, regression slope, and deviation from regression, to multivariate methods. In this review, we summarize the priorities and limitations of different parametric stability statistics, and also their correlations which might help agronomists and crop breeders to choose the proper methods for their analysis.

show abstract

Section: Joint Regression and Qtl Mappingmentioning

confidence: 86%

An Overview on the Use of Stability Parameters in Plant Breeding

Fasahat¹

2015

BBIJ

View full text Add to dashboard Cite

show abstract

“…its variance among environments is zero" (Becker and Léon 1988). ANOVA analysis, standard deviation and coefficient of variation have been used to test how genotypes vary across environments (Perkins and Jinks 1968, Francis and Kannenberg 1978, Funnah and Mak 1980, Ngeve and Bouwkamp 1993.…”

Section: Use Of Different Statistical Methods To Assess Stability In mentioning

confidence: 99%

Use of different statistical methods to assess stability in grapevines

Bogoni

Tovaglieri

Failla

et al. 1996

Aust J Grape Wine Res

View full text Add to dashboard Cite

Two trials, conducted in two locations in Italy over 4 years with Chardonnay grapevines trained to GDC, Pergola or Casarsa systems and grafted onto 6 rootstocks (SO4, Kober 5BB, Teleki 5C, 8B, 140Ru and 1103P), provided vine yield and pruning weight data to study a practical and reliable method for assessing genotypic stability. Commonly used stability statistics, like indices based on coefficients of variation and regression, were estimated. When the deviations from regression of genotype performances on the environmental index were large, biological response of rootstocks to different environments was better fitted by double regression analysis based on Verma's coefficients. The unpredictable part of the response in regression approach was quantified by Wricke's ecovalence index. The results confirmed that the use of more than one statistical procedure is necessary in the selection of stable genotypes. Genotype × environment interactions were partitioned into four components (variability, ecovalence, linear response or deviation from linear response, environmental sensitivity). The use of a graphical representation of the four components was easy to use and appropriate for grouping genotypes of greater and lesser stability. Rootstocks Teleki 5C and 8B were identified as stable for grape yield, while high yielding genotypes (SO4 and 1103 P) were judged as unstable. 140Ru and Kober 5BB were detected as stable for yield of pruning wood.

show abstract

“…The simplicity of the procedure makes it versatile in its application. Funnah and Mak (1980) also found it to be very convenient in their work with soybean.…”

Section: Locationmentioning

confidence: 98%

“…Several workers (Ayuk-Takem, 1981;Bacusmo et al, 1988;Crossa, 1988;Funnah and Mak, 1980;Jowett, 1972;Kang and Miller, 1984) have compared methods of stability analyses to study the usefulness of the different procedures for their specific data. Jowett (1972) compared the methods of Eberhart and Russell (1966), Finlay and Wilkinson (1963) and Wricke (1962) in a study of yield stability among sorghum [Sorghum bicolor (L.) Moench] inbred lines in East Africa and found Wricke's method, based on ecovalence, cumbersome and the least informative of the three methods.…”

mentioning

confidence: 99%

“…He concluded that the Eberhart and Russell method, which uses an arithmetic scale, was more explicit than the Finlay and Wilkinson procedure, which uses a logarithmic scale. Funnah and Mak (1980), comparing the Perkins and Jinks (1968), Shukla (1972), and Francis and Kannenberg (1978) procedures in determining genotypic stability in soybeans [Glycine max (L.) Merr. ], found that the three methods differed markedly and recommended the genotype-grouping technique of Francis and Kannenberg as being useful in large test populations.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Comparison of Statistical Methods to Assess Yield Stability in Sweetpotato

Ngeve¹,

Bouwkamp²

1993

jashs

View full text Add to dashboard Cite

Twenty-seven trials were conducted with 20 sweetpotato [Ipomoea batatas (L.) Lam.] clones in seven locations over 4 years in Cameroon to provide data for the evaluation of statistical methods appropriate for assessing yield stability. Four stability assessment methods were used. Clones 048, TIb 1, 1639, TIS 2498, and TIS 2544 were identified as stable for storage root yield by all four methods. The Eberhart and Russell and Perkins and Jinks methods are statistically related, each detected 9, 8, 9, and 10 clones as stable for total yield, marketable yield, and total and marketable root counts, respectively. Some clones considered stable for yield were found to be unstable for root counts. This result suggests that stability of a complex trait (such as yield) may not depend on stability of component traits. The Shukla method and the Francis and Kannenberg method were considered to be the most effective and useful of those tested. The Shukla method found more clones to be stable; also, the very high-yielding and very low-yielding clones were judged to be unstable. The Francis and Kannenburg method was very convenient, easy to use, and was appropriate for grouping clones of greater and lesser desirability and stability.

show abstract

Yield Stability Studies in Soyabeans (Glycine Max)

Cited by 11 publications

References 13 publications

An Overview on the Use of Stability Parameters in Plant Breeding

An Overview on the Use of Stability Parameters in Plant Breeding

Use of different statistical methods to assess stability in grapevines

Comparison of Statistical Methods to Assess Yield Stability in Sweetpotato

Contact Info

Product

Resources

About