Results 261 to 270 of about 706,429 (293)

Wheat NAC-A18 regulates grain starch and storage proteins synthesis and affects grain weight

Theoretical and Applied Genetics, 2023
Wheat NAC-A18 regulates both starch and storage protein synthesis in the grain, and a haplotype with positive effects on grain weight showed increased frequency during wheat breeding in China. Starch and seed storage protein (SSP) directly affect the processing quality of wheat grain.
Xiaolu Wang, Yunchuan Liu, Chenyang Hao, Tian Li, Uzma Majeed, Hongxia Liu, Huifang Li, Jian Hou, Xueyong Zhang   +8 more
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Rice Grain Morphological Characteristics Correlate with Grain Weight and Milling Quality

Cereal Chemistry, 2013
ABSTRACTUsing image analysis technology, the morphological measurements of paddy, brown (BR), and milled (MR) grains of 408 rice (Oryza sativa L.) lines representing a wide range of grain morphology were obtained, and the measurements' relationships with grain weight, milling quality, and chalkiness were investigated.
Lihong Xie, Shaoqing Tang, Neng Chen, Ju Luo, Guiai Jiao, Gaoneng Shao, Xiangjin Wei, Peisong Hu   +7 more
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Genetic effects determining rice grain weight and grain density

Euphytica, 1992
Increasing grain weight is one means of increasing rice (Oryza sativa L.) grain yields. Selection for increased density of filled grains may offer an approach to increasing rice grain weight. Before rice breeding programs can begin effectively selecting for higher grain density, the nature and amount of the genetic variation present must be evaluated ...
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Practicable Group Testing Method to Evaluate Weight/Weight GMO Content in Maize Grains

Journal of Agricultural and Food Chemistry, 2011
Because of the increasing use of maize hybrids with genetically modified (GM) stacked events, the established and commonly used bulk sample methods for PCR quantification of GM maize in non-GM maize are prone to overestimate the GM organism (GMO) content, compared to the actual weight/weight percentage of GM maize in the grain sample. As an alternative
Junichi, Mano, Yuka, Yanaka, Yoko, Ikezu, Mari, Onishi, Satoshi, Futo, Yasutaka, Minegishi, Kenji, Ninomiya, Yuichi, Yotsuyanagi, Frank, Spiegelhalter, Hiroshi, Akiyama, Reiko, Teshima, Akihiro, Hino, Shigehiro, Naito, Tomohiro, Koiwa, Reona, Takabatake, Satoshi, Furui, Kazumi, Kitta   +16 more
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Grain Weight in Cultivated Strains of Paddy

Madras Agricultural Journal, 1968
Yield in rice being a complex character is influenced very much by certain contributory factors and these yield components individually and in combination affect the yield. Enumerating the selective factors of the yielding ability in cereals, Panse and Khargonkar (1949) included grain weight as one of the important indices among others Simolete (1947 ...
GANESAN S.P, SIVASUBRAMANIAM S, SWAMINATHAN R, SRINIVASAN V   +3 more
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Hygroscopic weight gain of pollen grains from Juniperus species

International Journal of Biometeorology, 2014
Juniperus pollen is highly allergenic and is produced in large quantities across Texas, Oklahoma, and New Mexico. The pollen negatively affects human populations adjacent to the trees, and since it can be transported hundreds of kilometers by the wind, it also affects people who are far from the source.
Landon D, Bunderson, Estelle, Levetin
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Interrelationships between Panicle Weight, Grain Yield, and Grain Yield Components in Oat

Crop Science, 1991
The value of panicle weight as a selection criterion for improving grain yield in oat (Avena sativa L.) is largely unknown. Panicle weight in oat combines two of the three primary yield components, spikelets per panicle and seed weight, into a single trait that is easy to measure. Three oat populations were evaluated in 1987 through 1989 for the effect
L. B. Chapko, M. A. Brinkman
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The wall-associated kinase GWN1 controls grain weight and grain number in rice

Theoretical and Applied Genetics
Grain size is a crucial agronomic trait that determines grain weight and final yield. Although several genes have been reported to regulate grain size in rice (Oryza sativa), the function of Wall-Associated Kinase family genes affecting grain size is still largely unknown.
Zhiqi Ma, Jinli Miao, Jianping Yu, Yinghua Pan, Danting Li, Peng Xu, Xingming Sun, Jinjie Li, Hongliang Zhang, Zichao Li, Zhanying Zhang   +10 more
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Improving Document Classification Using Fine-Grained Weights

2015
In this paper document classification methods using multinomial naive Bayes are improved in a number of ways. We use the value weighting method, a new fine-grained weighting method, to calculate the weights of the feature values. Our experiments show that the proposed approach outperforms other state-of-the-art methods.
Soo-Hwan Song, Chang-Hwan Lee
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Prediction of grain weight, brown rice weight and amylose content in single rice grains using near-infrared reflectance spectroscopy

Field Crops Research, 2004
Abstract The potential of near-infrared reflectance spectroscopy (NIRS) for simultaneous analysis of grain weight (mg), brown rice weight (mg) and milled rice amylose content (AC, %) in single rice grains was studied. Calibration equations were developed using 474 single grain samples, scanned as both rice grain and brown rice.
J.G Wu, C.H Shi
openaire   +1 more source