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Mandal, S.S.

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Mandal
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S.S.
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Mandal, S.S.

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    Stress-resilient maize for climate-vulnerable ecologies in the Asian tropics
    (Southern Cross Publishing, 2020) Zaidi, P.; Nguyen, T.; Dang Ngoc Ha; Thaitad, S.; Ahmed, S.; Arshad, M.; Koirala, K.B.; Rijal, T.R.; Kuchanur, P.; Patil, A.; Mandal, S.S.; Kumar, R.; Singh, S.B.; Bhupender Kumar; Shahi, J.P.; Patel, M.B.; Gumma, M.K.; Pandey, K.; Chaurasia, R.; Haque, A.; Seetharam, K.; Das, R.R.; Vinayan, M.T.; Rashid, Z.; Nair, S.K.; Vivek, B.
    Publication
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    Genotype-by-environment interaction effects under heat stress in tropical maize
    (MDPI, 2020) Vinayan, M.T.; Zaidi, P.; Seetharam, K.; Das, R.R.; Viswanadh, S.; Ahmed, S.; Miah, M.A.; Koirala, K.B.; Tripathi, M.P.; Arshad, M.; Pandey, K.; Chaurasia, R.; Kuchanur, P.; Patil, A.; Mandal, S.S.
    Publication
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    Environmental variables contributing to differential performance of tropical maize hybrids across heat stress environments in South Asia
    (Southern Cross Publishing Group, 2019) Vinayan, M.T.; Zaidi, P.; Seetharam, K.; Md. Ashraful Alam; Ahmed, S.; Koirala, K.B.; Arshad, M.; Kuchanur, P.; Patil, A.; Mandal, S.S.
    Heat stress resilience in maize hybrids is emerging as an important trait in germplasm targeted for cultivation in the post-rainy season spring in South Asia. One of the major challenges in targeted breeding for these agro-ecologies is the differential response of maize genotypes to heat stress across locations during the spring season. This study is targeted at identifying the major environmental variables that contributed to the genotype × environmental (GEI) yield variations observed among genotypes grown in response to heat stress. The trial dataset used for this study constitutes 46 trials × location combinations spread over a period of three years (2013- 2015). Partial least square (PLS) regression analysis was implemented to decipher the important environmental variables contributing to the observed yield variation among maize trials planted during spring across locations of South Asia. The first two factors from the PLS study explained the 30 per cent yield variation across trials. The largest contributor of this variation was relative humidity (RH) and vapor pressure deficit (VPD) during flowering stage of the crop across the years.
    Publication
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    Stability for grain yield and other traits in tropical maize (Zea mays L.) under heat stress and optimal conditions
    (Excellent Publishers, 2018) Archana, K.A.; Kuchanur, P.; Zaidi, P.; Mandal, S.S.; Arunkumar, B.; Patil, A.; Seetharam, K.; Vinayan, M.T.
    Twenty four newly developed maize hybrids along with three commercial checks were evaluated for their yield performance at three locations under heat stress and optimal conditions. Pooled analysis of variance revealed significant differences among hybrids for grain yield. Mean sum of squares due to environments and linear component of environments were significant for all the traits studied. Whereas, mean sum of squares due to hybrids × environment interactions and linear component of hybrids × environment interaction were significant only for grain yield indicating the diversity among the selected environments. Based on the stability parameters, the hybrids, VL 107 × VL128 (0.97) and ZL 1110175 ×VL 1033 for days to 50 % anthesis, ZL 14501 × VL 1032 for days to 50 % silking, VL 1011 × VL 1033 for anthesis silking interval and ZL 11953 × VL 1032 for grain yield were identified as stable as they recorded regression value nearer to unity and non-significant deviation from regression.
    Publication
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    Use of genomic estimated breeding values results in rapid genetic gains for drought tolerance in maize
    (Crop Science Society of America, 2017) Vivek, B.; Krishna, G.; Vengadessan, V.; Babu, R.; Zaidi, P.; Kha, L.Q.; Mandal, S.S.; Grudloyma, P.; Takalkar, S.; Krothapalli, K.; Singh, I.S.; Ocampo, E.T.M.; Fan, X.M.; Burgueño, J.; Azrai, M.; Singh, R.P.; Crossa, J.
    More than 80% of the 19 million ha of maize (Zea mays L.) in tropical Asia is rainfed and prone to drought. The breeding methods for improving drought tolerance (DT), including genomic selection (GS), are geared to increase the frequency of favorable alleles. Two biparental populations (CIMMYT Asia Population 1 [CAP1] and CAP2) were generated by crossing elite Asian-adapted yellow inbreds (CML470 and VL1012767) with an African white drought-tolerant line, CML444. Marker effects of polymorphic single-nucleotide polymorphisms (SNPs) were determined from testcross (TC) performance of F2:3 families under drought and optimal conditions. Cycle 1 (C1) was formed by recombining the top 10% of the F2:3 families based on TC data. Subsequently, (i) C2[PerSe_PS] was derived by recombining those C1 plants that exhibited superior per se phenotypes (phenotype-only selection), and (ii) C2[TC-GS] was derived by recombining a second set of C1 plants with high genomic estimated breeding values (GEBVs) derived from TC phenotypes of F2:3 families (marker-only selection). All the generations and their top crosses to testers were evaluated under drought and optimal conditions. Per se grain yields (GYs) of C2[PerSe_PS] and that of C2[TC-GS] were 23 to 39 and 31 to 53% better, respectively, than that of the corresponding F2 population. The C2[TC-GS] populations showed superiority of 10 to 20% over C2[PerSe-PS] of respective populations. Top crosses of C2[TC-GS] showed 4 to 43% superiority of GY over that of C2[PerSe_PS] of respective populations. Thus, GEBV-enabled selection of superior phenotypes (without the target stress) resulted in rapid genetic gains for DT.
    Publication