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Journal articles 2015

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Phosphorous efficiency and tolerance traits for selection of sorghum for performance in phosphorous-limited environments Phosphorous efficiency and tolerance traits for selection of sorghum for performance in phosphorous-limited environments

Leiser WL, Rattunde HFW, Piepho H-P, Weltzien E, Diallo A, Toure A and Hausmann BIG (2015). Phosphorous efficiency and tolerance traits for selection of sorghum for performance in phosphorous-limited environments. Crop Science 55 Published online: 27 March 2015 (DOI: 10.2135/cropsci2014.05.0392). (G7010.03.03)

Abstract: Sorghum (Sorghum bicolor (L.) Moench) is widely cultivated in West Africa (WA) on soils with low phosphorus (P) availability. Large genetic variation for grain yield (GY) under low-P conditions was observed among WA sorghum genotypes, but information is lacking on the usefulness of P-tolerance ratios (relative performance in –P [no P fertilizer] vs. +P [with P fertilizer] conditions) and measures of P-acquisition and internal P-use efficiency as selection criteria for enhancing GY under low-P conditions. We evaluated 70 WA sorghum genotypes for GY performance under −P and +P conditions for 5 yr in two locations in Mali and assessed P acquisition (e.g., P content in biomass) and P-use efficiency (e.g., grain produced per unit P uptake) traits under −P and +P conditions in one site in 2010. Significant genetic variation existed for all P-tolerance ratios across multiple sites. Photoperiod-sensitive landrace genotypes showed significantly better P tolerance and less delay of heading under P-limited conditions compared with photoperiod-insensitive varieties. Genotypic correlations of P-tolerance ratios to GY under −P were moderate. Phosphorous acquisition and P-use efficiency traits independent of harvest index were of similar importance for GY under −P conditions in statistically independent trials. However grain-P and stover-P concentrations from one −P trial showed only weak correlations with GYs in statistically independent trials. Highest predicted gains for −P GY were obtained by theoretical index selection based on −P GY combined with P-use efficiency traits (e.g., low-grain P concentration). Such index selection is expected to achieve both increased sorghum productivity and P sustainability in the P-limited WA production systems.

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Quantitative trait loci mapping for traits related to the progression of wheat flag leaf senescence Quantitative trait loci mapping for traits related to the progression of wheat flag leaf senescence

Wang S, Liang Z, Sun D, Dong F, Chen W, Wang H and Jing R (2015). Quantitative trait loci mapping for traits related to the progression of wheat flag leaf senescence. Journal of Agricultural Science Published online as FirstView Article: 24 September 2014 (DOI: 10.1017/S002185961400094X). Not open access; view abstract. (G7010.02.01)

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Genetic purity and patterns of relationships among tropical highland adapted quality protein and normal maize inbred lines using microsatellite markers Genetic purity and patterns of relationships among tropical highland adapted quality protein and normal maize inbred lines using microsatellite markers

Abakemal D, Shimelis H, Derera J and Semagn K (2015). Genetic purity and patterns of relationships among tropical highland adapted quality protein and normal maize inbred lines using microsatellite markers. Euphytica Published online: 23 December 2014 (DOI 10.1007/s10681-014-1332-9). Not open access; view abstract.

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Genetic variation in lowland sorghum (Sorghum bicolor (L.) Moench) landraces assessed by simple sequence repeats Genetic variation in lowland sorghum (Sorghum bicolor (L.) Moench) landraces assessed by simple sequence repeats

Amelework B, Shimelis H, Tongoona P, Laing M and Mengistu F (2015). Genetic variation in lowland sorghum (Sorghum bicolor (L.) Moench) landraces assessed by simple sequence repeats. Plant Genetic Resources Published online: 26 June 2014 (DOI: 10.1017/S1479262114000744). Not open access; view abstract.

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Physiological mechanisms contributing to the QTL-combination effects on improved performance of IR64 rice NILs under drought Physiological mechanisms contributing to the QTL-combination effects on improved performance of IR64 rice NILs under drought

Henry A, Swamy BPM, Dixit S, Torres RD, Batoto TC, Manalili M, Anantha MS, Mandal NP and Kumar A (2015). Physiological mechanisms contributing to the QTL-combination effects on improved performance of IR64 rice NILs under drought. Journal of Experimental Botany 66(7):1787–1799 (DOI: 10.1093/jxb/eru506). (G3008.06)

Abstract: Characterizing the physiological mechanisms behind major-effect drought-yield quantitative trait loci (QTLs) can provide an understanding of the function of the QTLs—as well as plant responses to drought in general. In this study, we characterized rice (Oryza sativa L.) genotypes with QTLs derived from drought-tolerant traditional variety AdaySel that were introgressed into drought-susceptible high-yielding variety IR64, one of the most popular megavarieties in South Asian rainfed lowland systems. Of the different combinations of the four QTLs evaluated, genotypes with two QTLs (qDTY2.2 + qDTY4.1) showed the greatest degree of improvement under drought compared with IR64 in terms of yield, canopy temperature, and normalized difference vegetation index (NDVI). Furthermore, qDTY2.2 and qDTY4.1 showed a potential for complementarity in that they were each most effective under different severities of drought stress. Multiple drought-response mechanisms were observed to be conferred in the genotypes with the two-QTL combination: higher root hydraulic conductivity and in some cases greater root growth at depth. As evidenced by multiple leaf water status and plant growth indicators, these traits affected transpiration but not transpiration efficiency or harvest index. The results from this study highlight the complex interactions among major-effect drought-yield QTLs and the drought-response traits they confer, and the need to evaluate the optimal combinations of QTLs that complement each other when present in a common genetic background.

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QTL mapping for plant height and yield components in common wheat under water limited and full irrigation environments QTL mapping for plant height and yield components in common wheat under water limited and full irrigation environments

Li X, Xia X, Xiao Y, He Z, Wang D, Trethowan R, Wang H, Chen X (2015). QTL mapping for plant height and yield components in common wheat under water limited and full irrigation environments. Crop & Pasture Science Accepted for publication. View abstract. (G7010.02.01)

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Environmental response and genomic regions correlated with rice root growth and yield under drought in the OryzaSNP panel across multiple study systems Environmental response and genomic regions correlated with rice root growth and yield under drought in the OryzaSNP panel across multiple study systems

Wade LJ, Bartolome V, Mauleon R, Vasant VD, Prabakar SM, Chelliah M, Kameoka E, Nagendra K, Reddy KRK, Varma CMK, Patil KG, Shrestha R, Al-Shugeairy Z, Al-Ogaidi F, Munasinghe M, Gowda V, Semon M, Suralta RR, Shenoy V, Vadez V, Serraj R, Shashidhar HE, Yamauchi AK, Ranganathan CB, Price A, McNally KL and Henry A (2015). Environmental response and genomic regions correlated with rice root growth and yield under drought in the OryzaSNP panel across multiple study systems. PLoS ONE (DOI: 10.1371/journal.pone.0124127). In press. (G3008.06)

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Development and GBS-genotyping of Introgression Lines (ILs) using two wild species of rice, O. meridionalis and O. rufipogon, in a common recurrent parent, O. sativa cv. Curinga Development and GBS-genotyping of Introgression Lines (ILs) using two wild species of rice, O. meridionalis and O. rufipogon, in a common recurrent parent, O. sativa cv. Curinga

Arbelaez JD, Moreno LT, Singh N, Tung C-W, Maron LG, Ospina Y, Martinez CP, Grenier C, Lorieux M and McCouch SR (2015). Development and GBS-genotyping of Introgression Lines (ILs) using two wild species of rice, O. meridionalis and O. rufipogon, in a common recurrent parent, O. sativa cv. Curinga. Plant Breeding In press. (G3005.10)

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Genotypic variation in grain yield and flowering pattern in terminal and intermittent drought screening methods in rainfed lowland rice Genotypic variation in grain yield and flowering pattern in terminal and intermittent drought screening methods in rainfed lowland rice

Monkham T, Jongdee B, Pantuwan G, Sanitchon J, Mitchell JH and Fukai S (2015). Genotypic variation in grain yield and flowering pattern in terminal and intermittent drought screening methods in rainfed lowland rice. Field Crops Research 175:26–36 (DOI: 10.1016/j.fcr.2015.02.003). Not open access; view abstract. (G3008.06)

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Interrelationship among yield and yield contributing traits in RILs and their parents in Chickpea (Cicer arietinum L.) Interrelationship among yield and yield contributing traits in RILs and their parents in Chickpea (Cicer arietinum L.)

Joshi P and Yasin M (2015). Interrelationship among yield and yield contributing traits in RILs and their parents in Chickpea (Cicer arietinum L.). Indian Journal of Applied and Pure Biology 30(1):97–100. (G7009.02)

Abstract: Two hundred fifty two recombinant inbred lines generated from diverse Desi (ICC 283) and Kabuli (ICC 8261) parents were grown in RBD during rabi 2011-12 and interrelationship amongst yield traits was worked out. Seed yield showed positive association with biological yield, harvest index & plant height and negative with days to 50% flowering & days to maturity. Good plant vigour with high biological yield & plant height directly affect the yield. Long reproductive phase influence the high sink transfer and resulted high harvest index. Late flowering and late maturity observed in prostrate and spreading plant growth habit bearing RILs showed negative association with seed yield. The path analysis showed biological yield, plant height and harvest index is directly contributing to seed yield but delayed flowering and maturity increase vegetative period and reduce reproductive phase specially in prostrate and spreading plant growth habits bearing RILs showed negative indirect effect on seed yield.

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