Comparison of parametric and non-parametric methods for analysing genotype×environment interactions in safflower (<i>Carthamus tinctorius</i>L.)

Moghaddam, Mohsen; Pourdad, S. S.

doi:10.1017/s0021859609990050

Cited by 36 publications

(24 citation statements)

References 36 publications

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“…The presence of significant GEI for grain yield of the intermediate maturing maize cultivars demonstrated the need for the extensive testing of cultivars in multiple environments over years and the need to identify high-yielding and stable cultivars. This result is in agreement with the findings of earlier workers (BaduApraku et al 2003;Sabaghnia et al 2008;Moghaddam and Pourdad 2009). The high proportion of 63.5% contributed by environments to the total variation in grain yield, 32.8% contributed by GEI and low (3.5%) contribution by genotypes fall within the range reported by earlier workers (Fakorede and Adeyemo 1986;Badu-Apraku et al 2003, 2011aMohammadi et al 2009).…”

Section: Discussionsupporting

confidence: 93%

Stability analysis of maize cultivars adapted to tropical environments using AMMI analysis

Oyekunle

Menkir²,

Mani

et al. 2017

Cereal Research Communications

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Genotype × environment interactions complicate selection of superior genotypes for narrow and wide adaptation. Eighteen tropically-adapted maize cultivars were evaluated at six locations in Nigeria for 2 yrs to (i) identify superior and stable cultivars across environments and (ii) assess relationships among test environments. Environment and genotype × environment interactions (GEI) were significant (P < 0·05) for grain yield. Environments accounted for 63.5% of the total variation in the sum of squares for grain yield, whereas the genotype accounted for 3.5% and GEI for 32.8%. Grain yield of the cultivars ranged from 2292 kg ha -1 for DTSTR-W SYN2 to 2892 kg ha -1 for TZL COMP4 C3 DT C2 with an average of 2555 kg ha -1 . Cultivar DT SYN2-Y had the least additive main effect and multiplicative interaction (AMMI) stability value of 7.4 and hence the most stable but low-yielding across environments. AMMI biplot explained 90.5% and classified cultivars and environments into four groups each. IWD C3 SYN F3 was identified as the high-yielding and stable cultivar across environments. ZA15, ZA14, BK14, BK15 and IL15 had environment mean above the grand mean, while BG14, BG15, LE14, LE15, IL14, LA14 and LA15 had mean below the grand mean. ZA, BK, BG, LE and LA were found to be consistent in ranking the maize cultivars. However, Zaria, Birnin Kudu, and Ilorin were identified as the best test locations and could be used for selecting the superior maize cultivars. The identified high-yielding and stable cultivar could be further tested and promoted for adoption to contribute to food insecurity in Nigeria.

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Section: Discussionsupporting

confidence: 93%

Stability analysis of maize cultivars adapted to tropical environments using AMMI analysis

Oyekunle

Menkir²,

Mani

et al. 2017

Cereal Research Communications

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“…These results are consistent with the findings of Badu-Apraku et al (2011) and. The presence of significant E × Cultivar and E × Era mean squares for grain yield and most measured traits under multiple stress and non-stress environments indicated differential responses of the genotypes and the need to identify high-yielding and stable cultivars across environments, as reported by Sabaghnia et al (2008); Moghaddam and Pourdad, (2009). This result confirmed the need for extensive testing of cultivars in multiple environments, including location and years before cultivar recommendations are made in the subregion (Badu-Apraku et al, 2011, 2015b.…”

Section: Discussionsupporting

confidence: 89%

Yield Gains in Extra‐Early Maize Cultivars of Three Breeding Eras under Multiple Environments

Badu‐Apraku¹,

Yallou

Ofori

et al. 2017

Agronomy Journal

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Core Ideas The study determined genetic improvement in grain yield of the cultivars during the breeding eras, investigated trait associations, and identified high‐yielding and stable cultivars across multiple‐stress and non‐stress environments. The study revealed an annual genetic gain of 2.72 and 2.28% for the cultivars under multiple‐stress and non‐stress environments. Cultivars 2004 TZEE‐Y Pop STR C4, TZEE‐W Pop STR QPM C0, TZEE‐W Pop STR BC2 C0 of era 2 and TZEE‐W STR 107 BC1, TZEE‐W Pop STR C5, and 2012 TZEE‐Y DT STR C5 of era 3 were the highest yielding and stable across multiple‐stress environments while 98 Syn EE‐W from era 1, FERKE TZEE‐W STR, TZEE‐W Pop STR C3, TZEE‐Y Pop STR QPM C0 from era 2, and TZEE‐W Pop STR C5, 2009 TZEE‐OR2 STR QPM, 2009 TZEE‐W STR, TZEE‐Y STR 106, TZEE‐W DT C0 STR C5 from era 3 were the most outstanding across non‐stress environments. We conclude that substantial progress has been made in breeding for multiple‐stress tolerant extra‐early maize cultivars in West and central Africa. Availability of extra‐early maize cultivars has facilitated the expansion of maize production into savannas of West and Central Africa (WCA). Fifty‐six extra‐early maize cultivars of three breeding eras;1995 to 2000, 2001 to 2006, and 2007 to 2012 were evaluated for 2 yr under 24 multiple‐stress and 28 non‐stress environments in WCA. Objectives of the study were to determine genetic improvement in grain yield of cultivars developed during the breeding eras, and identify high‐yielding and s multiple‐stress and non‐stress environments. Yield gains from era 1 to era 3 under multiple stresses was associated with increased days to anthesis, reduced stalk lodging, and improved husk cover. Cultivars 2004 TZEE‐Y Pop STR C4, TZEE‐W Pop STR QPM C0, and TZEE‐W Pop STR BC2 C0 of era 2; and TZEE‐W STR 107 BC1, TZEE‐W Pop STR C5, and 2012 TZEE‐Y DT STR C5 of era 3 were high‐yielding and stable across multiple‐stress environments while 98 Syn EE‐W from era 1, FERKE TZEE‐W STR, TZEE‐W Pop STR C3, and TZEE‐Y Pop STR QPM C0 from era 2, and TZEE‐W Pop STR C5, 2009 TZEE‐OR2 STR QPM, 2009 TZEE‐W STR, TZEE‐Y STR 106, and TZEE‐W DT C0 STR C5 from era 3 were outstanding across non‐stress environments and should be tested extensively and commercialized. Considerable improvement has been made in breeding for multiple‐stress tolerant extra‐early maize cultivars.

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“…DISCUSSION In the present study, significant mean squares were detected for G, E, and GEI for most measured traits under drought stress, low N, and in optimal growing conditions and across environments indicating that the test environments were unique and that there was adequate genetic variability among the early yellow hybrids to allow good progress from selection for improvements in most of the traits (Badu-Apraku et al, 2011b;Akinwale et al, 2014). Furthermore, the significant GEI suggested differential responses of the genotypes and the need to identify high-yielding and stable genotypes across test environments (Sabaghnia et al, 2008;Moghaddam and Pourdad, 2009). The presence of a highly significant GEI for grain yield and most measured traits of the early yellow hybrids is a confirmation of the need for extensive testing of cultivars in multiple environments before cultivar recommendations are made.…”

Section: Comparison Of the Efficiency Of The Heterotic Grouping Methodsmentioning

confidence: 99%

Heterotic Patterns of IITA and CIMMYT Early‐Maturing Yellow Maize Inbreds under Contrasting Environments

et al. 2016

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Drought and low soil nitrogen (low-N) constitute major constraints to maize (Zea mays L.) production in West Africa (WA). Th e International Institute of Tropical Agriculture (IITA) and International Center for Maize and Wheat Improvement (CIMMYT) have developed drought and low-N tolerant inbreds for Africa. Combinations between selected IITA and CIMMYT inbreds could produce outstanding hybrids. Diallel crosses of 12 IITA and fi ve CIMMYT early yellow inbreds plus four checks were evaluated under drought, low-N and optimal conditions at four locations in Nigeria for 2 yr. Th e objectives were to examine the combining ability of the inbreds for grain yield and other traits, classify the lines into heterotic groups, identify best testers under the contrasting environments, assess genotype × environment interactions and evaluate the yield performance and stability of single-cross hybrids. Grouping of the inbred lines was done with heterotic group's specifi c combining ability (SCA) and general combining ability (GCA) (HSGCA), single nucleotide polymorphism based genetic distance (SNP-GD) and GCA eff ects of multiple traits (HGCAMT) methods. Th e GCA mean squares for all traits were greater than SCA mean squares in all environments. Th e inbreds were classifi ed into four heterotic groups each across environments by HSGCA and SNP-GD while HGCAMT method placed them into three groups. HGCAMT was the most effi cient followed by HSGCA and then SNP-GD method. Th e HGCAMT identifi ed inbreds ENT 17, ENT 15, and ENT 8 as best testers for heterotic Groups 1, 2, and 3. Hybrids TZEI 17 × ENT 15, and TZEI 149 × ENT 15 were outstanding across environments.

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Comparison of parametric and non-parametric methods for analysing genotype×environment interactions in safflower (Carthamus tinctoriusL.)

Cited by 36 publications

References 36 publications

Stability analysis of maize cultivars adapted to tropical environments using AMMI analysis

Stability analysis of maize cultivars adapted to tropical environments using AMMI analysis

Yield Gains in Extra‐Early Maize Cultivars of Three Breeding Eras under Multiple Environments

Heterotic Patterns of IITA and CIMMYT Early‐Maturing Yellow Maize Inbreds under Contrasting Environments

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