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Grain yield, water productivity and nitrogen use efficiency of rice under different water management and fertilizer-N inputs in South China by Pan, Junfeng, Liu, Yanzhuo, Zhong, Xuhua, Lampayan, Rubenito M., Singleton, Grant R., Huang, Nongrong, Liang, Kaiming, Peng, Bilin, Tian, Ka

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The social and economic impact of biofortification through genetic modification by De Steur, Hans, Demont, Matty, Gellynck, Xavier, Stein, Alexander J.

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Farmers’ preferences for supermarket contracts in Kenya by Ochieng, Dennis O., Veettil, Prakashan C., Qaim, Matin

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Gender differentials in farming efficiency and profits: The case of rice production in the Philippines by Mishra, Ashok K., Khanal, Aditya R., Mohanty, Samarendu

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Genome-wide association analysis identifies resistance loci for bacterial blight in a diverse collection of indica rice germplasm by Zhang, Fan, Wu, Zhi-Chao, Wang, Ming-Ming, Zhang, Fan, Dingkuhn, Michael, Xu, Jian-Long, Zhou, Yong-Li, Li, Zhi-Kang

“…Twelve resistance loci containing 121 significantly associated signals were identified using 317,894 single nucleotide polymorphisms, which explained 13.3–59.9% of the variability in lesion length caused by Xoo races P1, P6, and P9a. …”
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Comparative study of mango based agroforestry and mono-cropping system under rainfed condition of West Bengal by Sharma, Babloo, Tripathi, Sandeep, Dhara, P., Kumari, Pratibha, Meena, Santosh, Kumari, Reena, Kumar, Adyant

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Genome-wide association analysis tracks bacterial leaf blight resistance loci in rice diverse germplasm by Dilla-Ermita, Christine Jade, Tandayu, Erwin, Juanillas, Venice Margarette, Detras, Jeffrey, Lozada, Dennis Nicuh, Dwiyanti, Maria Stefanie, Vera Cruz, Casiana, Mbanjo, Edwige Gaby Nkouaya, Ardales, Edna, Diaz, Maria Genaleen, Mendioro, Merlyn, Thomson, Michael J., Kretzschmar, Tobias

“…Furthermore, significant associations of SNPs in chromosomes 6, 9, 11, and 12 did not overlap with known resistance loci and hence might prove to be novel sources of resistance. …”
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Characterization and functional analysis of clpB gene from Acidovorax avenae subsp. avenae RS-1 by Zhang, Y., Zhang, F., Li, B., Yang, Y.Z., Ibrahim, M., Fang, Y.S., Qiu, W., Masum, M. M. I., Oliva, R.

“…The results indicated that mutation of clpB significantly affected bacterial growth, virulence, exopolysaccharide (EPS) production, biofilm formation and expression of 13 other T6SS genes of Aaa RS‐1. …”
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Mapping QTLs for submergence tolerance in rice using a population fixed for SUB1A tolerant allele by Gonzaga, Zennia Jean C., Carandang, Jerome, Singh, Anshuman, Collard, Bertrand C. Y., Thomson, Michael J., Septiningsih, Endang M.

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The impact of local development project on social capital: evidence from the Bohol irrigation scheme in the Philippines by Park, Hogeun, Tsusaka, Takuji, Pede, Valerien, Kim, Kyung-Min

“…By combining the results of the ultimatum game (UG) with a household survey on 245 villagers in Bohol, this paper (1) measures the degree of social capital at the individual level and (2) quantifies the effects of irrigation on social capital by controlling household as well as individual characteristics. …”
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Benefits and potential trade-offs associated with yeast-like symbionts during virulence adaptation in a phloem-feeding planthopper by Horgan, Finbarr G., Ferrater, Jedeliza B.

“…In some cases, this occurred despite differences in YLS density responses to the various hosts. Furthermore, we detected no fitness costs associated with YLS in adapted populations. …”
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Community recommendations on terminology and procedures used in flooding and low oxygen stress research by Sasidharan, Rashmi, Bailey-Serres, Julia, Ashikari, Motoyuki, Atwell, Brian J., Colmer, Timothy D., Fagerstedt, Kurt, Fukao, Takeshi, Geigenberger, Peter, Hebelstrup, Kim H., Hill, Robert D., Holdsworth, Michael J., Ismail, Abdelbagi M., Licausi, Francesco, Mustroph, Angelika, Nakazono, Mikio, Pedersen, Ole, Perata, Pierdomenico, Sauter, Margret, Shih, Ming-Che, Sorrell, Brian K., Striker, Gustavo G., van Dongen, Joost T., Whelan, James, Xiao, Shi, Visser, Eric J. W., Voesenek, Laurentius A. C. J.

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Harnessing the hidden genetic diversity for improving multiple abiotic stress tolerance in rice (Oryza sativa L.) by Ali, Jauhar, Xu, Jianlong, Gao, Yong-Ming, Ma, Xiu-Fang, Meng, Lijun, Wang, Ying, Pang, Yunlong, Guan, Yong-Sheng, Xu, Mei-Rong, Revilleza, Jastin E., Franje, Neil J., Zhou, Shao-Chuan, Li, Zhikang

“…Using eight BC1 populations derived from a widely adaptable recipient and eight donors plus three rounds of phenotypic selection, we developed 496 introgression lines (ILs) with significantly higher yield under drought, salt and/or non-stress conditions in 5 years. …”
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Irrigation management risks and Zn fertilization needs in Zn biofortification breeding in lowland rice by Rubianes, F.H.C., Swamy, B.P. Mallikarjuna, Johnson-Beebout, S.E.

“…Zn application is not always necessary to breeding trials unless there is a severe Zn deficiency and there is no need to carefully regulate TD prior to harvest.…”
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Rethinking the approach to viability monitoring in seed genebanks by Hay, Fiona R., Whitehouse, Katherine J.

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Maturity groups and growing seasons as key sources of variation to consider within breeding programs for high yielding rice in the tropics by Bueno, Crisanta S., Lafarge, Tanguy

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QTL hotspots for early vigor and related traits under dry direct-seeded system in rice (Oryza sativa L.) by Singh, Uma M., Yadav, Shailesh, Dixit, Shilpi, Ramayya, P. Janaki, Devi, M. Nagamallika, Raman, Anitha K., Kumar, Arvind

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Is early morning flowering an effective trait to minimize heat stress damage during flowering in rice? by Bheemanahalli, Raju, Sathishraj, Rajendran, Manoharan, Muthukumar, Sumanth, H.N., Muthurajan, Raveendran, Ishimaru, Tsutomo, Jagadish, Krishna S.V.

“…Averaged across two dry seasons, the FSOT ranged between 2.35 h and 5.08 h after dawn compared to 3.05 h and 5.50 h during the WS, while, PSOT varied from 3.32 to 6.27 h in DS and from 3.50 to 7.05 h in WS. …”
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Evaluation of the APSIM model in cropping systems of Asia by Gaydon, D.S., Balwinder-Singh, Wang, E., Poulton, P.L., Ahmad, B., Ahmed, F., Akhter, S., Ali, I., Amarasingha, R., Chaki, A.K., Chen, C., Choudhury, B.U., Darai, R., Das, A., Hochman, Z., Horan, H., Hosang, E.Y., Kumar, P. Vijaya, Khan, A.S.M.M.R., Laing, A.M., Liu, L., Malaviachichi, M.A.P.W.K., Mohapatra, K.P., Muttaleb, M.A., Power, B., Radanielson, A.M., Rai, G.S., Rashid, M.H., Rathanayake, W.M.U.K., Sarker, M.M.R., Sena, D.R., Shamim, M., Subash, N., Suriadi, A., Suriyagoda, L.D.B., Wang, G., Wang, J., Yadav, R.K., Roth, C.H.

“…One such cropping systems model is the Agricultural Production Systems Simulator (APSIM). We evaluated APSIM’s ability to simulate the performance of cropping systems in Asia from several perspectives: crop phenology, production, water use, soil dynamics (water and organic carbon) and crop CO2 response, as well as its ability to simulate cropping sequences without reset of soil variables. …”
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Influence of high daytime temperature during the grain filling stage on fissure formation in rice by Abayawickrama, A.S.M.T., Reinke, R.F., Fitzgerald, M.A., Harper, J.D.I., Burrows, G.E.

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