Literature DB >> 23464570

Impacts of preharvest factors during kernel development on rice quality and functionality.

Terry J Siebenmorgen1, Brandon C Grigg, Sarah B Lanning.   

Abstract

Rice quality and functionality are characterized in many ways, depending largely on the industry segment using the rice. These characteristics include appearance, milling, and cooking parameters. Recently, variable quality of rice grown in the United States has been reported, but the cause was not well documented. Agronomic impacts include planting time, irrigation and fertility, cultivar selection, and harvest conditions. However, recent research suggests that ambient air temperature, specifically elevated nighttime air temperature (NTAT) during grain filling, dramatically affects the variability of rice milling quality, in terms of milled- and head-rice yields; appearance, in terms of chalkiness; and functional characteristics, including viscosity profiles, gelatinization temperatures, and proximate concentrations. Future research is needed to develop cultivars that are resistant to stress resulting from elevated NTAT during the critical period of grain filling, and, for the near term, to develop altered production management practices that mitigate elevated-temperature stress.

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Year:  2013        PMID: 23464570     DOI: 10.1146/annurev-food-030212-182644

Source DB:  PubMed          Journal:  Annu Rev Food Sci Technol        ISSN: 1941-1421


  15 in total

Review 1.  Prospects of breeding high-quality rice using post-genomic tools.

Authors:  Roslen Anacleto; Rosa Paula Cuevas; Rosario Jimenez; Cindy Llorente; Eero Nissila; Robert Henry; Nese Sreenivasulu
Journal:  Theor Appl Genet       Date:  2015-05-21       Impact factor: 5.699

Review 2.  Designing climate-resilient rice with ideal grain quality suited for high-temperature stress.

Authors:  Nese Sreenivasulu; Vito M Butardo; Gopal Misra; Rosa Paula Cuevas; Roslen Anacleto; Polavarpu B Kavi Kishor
Journal:  J Exp Bot       Date:  2015-02-05       Impact factor: 6.992

3.  Chalk5 encodes a vacuolar H(+)-translocating pyrophosphatase influencing grain chalkiness in rice.

Authors:  Yibo Li; Chuchuan Fan; Yongzhong Xing; Peng Yun; Lijun Luo; Bao Yan; Bo Peng; Weibo Xie; Gongwei Wang; Xianghua Li; Jinghua Xiao; Caiguo Xu; Yuqing He
Journal:  Nat Genet       Date:  2014-03-16       Impact factor: 38.330

4.  Natural variation in WHITE-CORE RATE 1 regulates redox homeostasis in rice endosperm to affect grain quality.

Authors:  Bian Wu; Peng Yun; Hao Zhou; Duo Xia; Yuan Gu; Pingbo Li; Jialing Yao; Zhuqing Zhou; Jianxian Chen; Rongjia Liu; Shiyuan Cheng; Hao Zhang; Yuanyuan Zheng; Guangming Lou; Pingli Chen; Shanshan Wan; Mingsong Zhou; Yanhua Li; Guanjun Gao; Qinglu Zhang; Xianghua Li; Xingming Lian; Yuqing He
Journal:  Plant Cell       Date:  2022-04-26       Impact factor: 12.085

5.  Deciphering the Environmental Impacts on Rice Quality for Different Rice Cultivated Areas.

Authors:  Xiukun Li; Lian Wu; Xin Geng; Xiuhong Xia; Xuhong Wang; Zhengjin Xu; Quan Xu
Journal:  Rice (N Y)       Date:  2018-01-19       Impact factor: 4.783

Review 6.  Relationship between High Temperature and Formation of Chalkiness and Their Effects on Quality of Rice.

Authors:  A Y M Nevame; R M Emon; M A Malek; M M Hasan; Md Amirul Alam; Farrah Melissa Muharam; Farzad Aslani; M Y Rafii; M R Ismail
Journal:  Biomed Res Int       Date:  2018-04-01       Impact factor: 3.411

7.  Dissecting the genome-wide genetic variants of milling and appearance quality traits in rice.

Authors:  Gopal Misra; Roslen Anacleto; Saurabh Badoni; Vito Butardo; Lilia Molina; Andreas Graner; Matty Demont; Matthew K Morell; Nese Sreenivasulu
Journal:  J Exp Bot       Date:  2019-10-15       Impact factor: 6.992

8.  Field performance on grain yield and quality and genetic diversity of overwintering cultivated rice (Oryza sativa L.) in southwest China.

Authors:  Yongshu Liang; Wenbin Nan; Xiaojian Qin; Hanma Zhang
Journal:  Sci Rep       Date:  2021-01-19       Impact factor: 4.379

9.  QTL analysis for chalkiness of rice and fine mapping of a candidate gene for qACE9.

Authors:  Yang Gao; Chaolei Liu; Yuanyuan Li; Anpeng Zhang; Guojun Dong; Lihong Xie; Bin Zhang; Banpu Ruan; Kai Hong; Dawei Xue; Dali Zeng; Longbiao Guo; Qian Qian; Zhenyu Gao
Journal:  Rice (N Y)       Date:  2016-08-22       Impact factor: 4.783

10.  3D Visualization and Volume-Based Quantification of Rice Chalkiness In Vivo by Using High Resolution Micro-CT.

Authors:  Yi Su; Lang-Tao Xiao
Journal:  Rice (N Y)       Date:  2020-09-16       Impact factor: 4.783

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