YIELD STABILITY IN INTERCROPPING STUDIES OF SORGHUM OR MAIZE WITH COWPEA OR COMMON BEAN UNDER DIFFERENT FERTILITY LEVELS IN NORTHEASTERN BRAZIL

1983 ◽  
Vol 63 (4) ◽  
pp. 789-799 ◽  
Author(s):  
M. A. FARIS ◽  
M. R. A. de ARAÚJO ◽  
M. de A. LIRA ◽  
A. S. S. ARCOVERE

Experimental evidence on yield stability of intercropping is sparse. This work was carried out to examine the stability of four intercrop patterns: maize (Zea mays L.)/cowpea (Vigna unguiculata (L.) Walp); maize/common bean (Phaseolus vulgaris L.); sorghum (Sorghum bicolor (L.) Moench)/cowpea; and, sorghum/common bean against their component crops. Twenty-one trials were established from 1974 to 1978. The mean relative yield advantage of intercropping patterns as indicated by the land equivalent ratio (LER) was 32%. The combined analysis of variance for the absolute total yields revealed that most of the pattern × environment interaction is accounted for by the heterogeneity of regressions. Pulses were less responsive to environmental change. However, cereals were more responsive to improvement in the environment resulting in increased yield. The regression lines of the intercropping patterns and sole cereals were closer to each other, due to the low yield contribution of the pulses to the intercropping total yield. However, the slopes of the intercropping pattern lines were closer to b = 1.0. On the basis of mean yield and regression slope, it was demonstrated that sole cereals or intercropping have better performance stability than sole pulses in northeastern Brazil.Key words: Stability, intercropping, sorghum, maize, cowpea, common bean

2011 ◽  
Vol 39 (1) ◽  
pp. 220 ◽  
Author(s):  
Adesola L. NASSIR ◽  
Omolayo J. ARIYO

Twelve rice varieties were cultivated in inland hydromorphic lowland over a four year-season period in tropical rainforest ecology to study the genotype x environment (GxE) interaction and yield stability and to determine the agronomic and environmental factors responsible for the interaction. Data on yield and agronomic characters and environmental variables were analyzed using the Additive Main Effect and Multiplicative Interaction (AMMI), Genotype and Genotype x Environment Interaction, GGE and the yield stability using the modified rank-sum statistic (YSi). AMMI analysis revealed environmental differences as accounting for 47.6% of the total variation. The genotype and GxE interaction accounted for 28.5% and 24% respectively. The first and second interaction axes captured 57% and 30% of the total variation due to GXE interaction. The analysis identified ‘TOX 3107’ as having a combination of stable and average yield. The GGE captured 85.8%of the total GxE. ‘TOX 3226-53-2-2-2’ and ‘ITA 230’ were high yielding but adjudged unstable by AMMI. These two varieties along with ‘WITA 1’ and ‘TOX 3180-32-2-1-3-5’ were identified with good inland swamp environment, which is essentially moisture based. The two varieties (‘TOX 3226-53-2-2-2’ and ‘ITA 230’), which were equally considered unstable in yield by the stability variance, ?2i, were selected by YSi in addition to ‘TOX 3107’, ‘WITA 1’, ‘IR 8’ and ‘M 55’. The statistic may positively complement AMMI and GGE in selecting varieties suited to specific locations with peculiar fluctuations in environmental indices. Correlation of PC scores with environmental and agronomic variables identified total rainfall up to the reproductive stage, variation in tillering ability and plant height as the most important factors underlying the GxE interaction. Additional information from the models can be positively utilized in varietal development for different ecologies.


2002 ◽  
Vol 138 (3) ◽  
pp. 249-253 ◽  
Author(s):  
F. MEKBIB

Phenotypic yield stability is a trait of special interest for plant breeders and farmers. This value can be quantified if genotypes are evaluated in different environments. Common bean is the main cash crop and protein source of farmers in many lowland and mid-altitude areas of Ethiopia. An experiment was undertaken to evaluate common bean genotypes for yield performance at Alemaya, Bako and Nazreth in Ethiopia for 3 years. The yield performance of genotypes was subjected to stability analysis and yield-stability statistics were generated to aid the selection of genotypes that were high yielding and very stable. The significant genotype by environment interaction indicated that the relative performance of the varieties altered in the different environments. Genotype yield performance varied ranging from 1511–2216 kg/ha. Simultaneous selection for yield and yield-stability statistics using YS(i) statistics indicated that A 410, GLP x92, Mx-2500-19, G 2816, A-195, 997-CH-1173, Diacol calima, ICA 15541 and AND 635 were both high yielding and stable. Following this study, using farmers’ evaluation and other criteria, GLP x92 and G-2816 were identified as preferred genotypes and were released for further production.


1980 ◽  
Vol 16 (4) ◽  
pp. 387-392 ◽  
Author(s):  
S. M. Funnah ◽  
C. Mak

SUMMARYRegression analysis, stability variance method, and the genotype-grouping technique were used to investigate the relative yield stability of 20 soyabean genotypes, grown in 12 diverse environments in Malaysia in 1978. With the regression analysis, four genotypes were observed to be unstable for grain yield; however, for the remaining 16 genotypes with non-significant regression coefficients, a substantial proportion of the g × e interaction was non-linearly related to the environmental indices. With the second and third methods less than half of the genotypes turned out to be stable for grain yield. Generally, for some genotypes, the stability classification was the same for all three methods.


1999 ◽  
Vol 4 (2) ◽  
pp. 53
Author(s):  
R. Ahmad ◽  
A. Tanveer ◽  
J. C. Stark ◽  
T. Mustafa

Selection for drought tolerance typically involves evaluating genotypes for either high yield potential or stable performance under varying degrees of water stress. Field Studies were conducted in 1992 and 1993 to assess methods for evaluating genotypes with combined high yield potential and stability, in both years, 12 spring wheat (Triticum aestivum. L.) genotypes were grown under two irrigation levels (well-watered and stressed) imposed between tillering and anthesis with a line-source sprinkler irrigation system. Drought susceptibility index (the ratio of the yield of genotype in drought to the yield of the same genotype in well watered conditions standardized by the mean yield of all genotypes in drought and well watered conditions) and relative yield (yield of an individual genotype under drought divided by the yield of the highest yielding individual genotype in a population under drought) values were used to describe yield stability and yield potential of the 12 spring wheat genotypes. There were year-to-year variations in drought susceptibility index (DSI) and relative yield (RY) values within genotypes and changes in genotypic rankings within years. The DSI values ranged from 0.42 to 1.24 in 1992 and from 0.51 to 1.59 in 1993. The mean RY were 0.79 and 0.86 in 1992 and 1993, respectively. The DSI did not provide a good indication of yield potential as some genotypes has DSI < 1 but RY lower than average under water-stressed conditions. The RY (higher than average) under water stress was a good indicator of yield potential of a genotype per se but gave no indication of yield stability. The plots of DSI vs. RY values were found useful in identifying genotypes with high yield potential and relatively stable yield performance under different moisture regimes.


1991 ◽  
Vol 71 (3) ◽  
pp. 641-647 ◽  
Author(s):  
T. E. Michaels ◽  
D. W. Stanley

Storage of common bean (Phaseolus vulgaris L.) in elevated temperature and/or humidity conditions leads to a textural defect where the beans harden and fail to soften upon soaking and cooking. The objectives of this study were to determine the stability of 20 common bean cultivars grown in three environments for initial hardness, final hardness following storage and hardening ratio, and to estimate the heritability of these hardening parameters. Cultivar × environment interaction was highly significant for the hardening parameters. When stability was examined by plotting hardness against coefficient of variation across environments, three cultivars, GN-77135B, ICA Pijao and T39 Black Turtle, were marginally below the mean for both final hardness and coefficient of variation. While the coefficients of variation for the red kidney bean cultivars Redkloud and Montcalm were high, the maximum compression forces were only slightly (< 20%) greater than the maximum acceptable hardness level as determined by a sensory panel. Fiesta Pinto had the lowest coefficient of variation and near mean values for both final hardness and hardening ratio making it arguably the cultivar with best combination of texture and stability. Heritability estimates were low (0–0.24) with high standard error and estimates of the proportion of phenotypic variance due to G × E were moderate to high (0.29–0.69). Initial cultivar improvement efforts should focus on developing cultivars with greater stability across environments for the hardening parameters. Key words: Phaseolus vulgaris L., storage-induced hardening, stability, broad sense heritability, bean (common)


2018 ◽  
Vol 53 (2) ◽  
pp. 189-196 ◽  
Author(s):  
Patrícia Guimarães Santos Melo ◽  
Renata Cristina Alvares ◽  
Helton Santos Pereira ◽  
Antônio Joaquim Braga Pereira Braz ◽  
Luis Claudio Faria ◽  
...  

Abstract: The objective of this work was to evaluate the interaction between genotypes and environments for grain yield of common bean (Phaseolus vulgaris) lines and cultivars with potential for use in family farming systems. Data from value for cultivation and use tests, carried out in 20 environments in the state of Goiás, Brazil, were analyzed in two cycles (2007/2008 and 2009/2010) in the dry, rainy, and winter crop seasons. Each test consisted of 15 genotypes from the carioca, purple, and rosinha common bean commercial groups. The experimental design was randomized complete block, with three replicates. The methodologies used to test the stability and adaptability of the genotypes were the one of Lin & Binns, of Cruz, the additive main effects and multiplicative interaction model (AMMI) to calculate the weighted average of absolute scores and productivity (WAASP), and the GGE biplot graphical analysis. The productive performance of the common bean lines and cultivars is affected by genotype x environment interaction. The methodologies adopted allow the selection of cultivars for cropping, and of cultivars and lines for use as parents in order to obtain segregating populations for selection in a family farming system.


2018 ◽  
Vol 3 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Mahendra Dia ◽  
Todd C. Wehner ◽  
Gary W. Elmstrom ◽  
August Gabert ◽  
James E. Motes ◽  
...  

Abstract Reliable yield performance is important in cucumber because seed companies prefer to market cultivars adapted to multiple rather than single regions of the U.S. Also, growers benefit by using a cultivar that performs well in many environments. Future performance of cultivars is also important. The objectives of the study were to (i) evaluate the yield of cucumber genotypes over successive years and in different locations, and (ii) identify cucumber genotypes with high stability for yield. A diverse set of 22 pickling genotypes was evaluated over 3 years (1986, 1987 and 1988) and in 7 locations across the United States. Yield traits were evaluated using once-over harvest and counting the number of fruit that were marketable, culled or oversize. Total yield, marketable yield (total minus culled fruit), early yield (number of oversize fruit), percent culls and fruit per plant were calculated. Data were analyzed with SASGxE and RGxE programs using SAS and R programming languages, respectively. There were strong effects of environment(E) as well as genotype(G) xE interaction for all traits. Genotypes ‘Regal F1’, ‘Calypso F1’, ‘Carolina F1’, ‘Gy 3’, ‘Gy 14’ and ‘Fremont F1’ had high marketable yield and medium to high stability for all traits. There was an advantage of hybrids over inbreds for trait performance. Hybrids fell into a single cluster with large prediction intervals. Based on the stability statistics and divisive clusters, it appears possible to breed stable cucumber genotypes with high yield. The genotype with highest performance for marketable yield, greatest stability for yield, lowest 1-R2 ratio value (diverse and representative) were ‘Marbel F1’ and Gy 14.


Author(s):  
Wakuma Merga Sakata

The inconsistence of genotypes across location during plant breeding is the major challenges to the breeder. That is the differential response of genotypes to different environment. Meanwhile stability is the ability of a genotype to withstand stressful conditions and yet be able to produce yield. Thus, stability is an absolute and relative measure. Arabica coffee has location specific adaptation nature and that leads to highly significant instability in its breeding program. In the study of coffee bean yield stability cultivars tested at multi- locations within the domain of coffee growing ecologies of Ethiopia, showed a significant genotype x environment interaction. The review of previous research also indicated inconsistent effects of genotype x environment interaction on cup quality. Yield-stability analysis is very important in measuring cultivar stability and suitability for growing crops across seasons and agro-ecological region to identify stable genotype. The yield stability have been challenge to the plant breeders and biometricians, it complicates the selection of superior genotypes. It is important to minimize the usefulness of the genotype across environments for selecting. Since approach of plant breeding is to develop genotypes that are, optimum for the condition under which they will be grown breeders have to manage yield instability throughout formalized procedures of plant breeding. During stability measurement if the variance is found to be significant, various methods of measuring the stability of genotypes can be used to identify the stable genotype(s). Most of stability analysis parameters are briefly discussed in this review. Int. J. Agril. Res. Innov. Tech. 11(2): 117-123, Dec 2021


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