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Grain Yield Mapping: Yield Sensing, Yield Reconstruction, and Errors

Precision Agriculture, 2002
Research findings are reviewed focusing on yield sensing methods, yield reconstruction, mapping, and errors. Yield sensing methods were explained and yield mapping process was briefly introduced. Grain flow through different combines was explained and the effects of combine dynamics on yield measurement accuracy were discussed.
Selcuk Arslan, Thomas S. Colvin
openaire   +1 more source

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
openaire   +1 more source

Screening Yield Monitor Data Improves Grain Yield Maps

Agronomy Journal, 2004
Yield monitor data contain systematic and random errors, which must be removed for creating accurate yield maps. A general procedure for assessing yield data cleaning methods was applied to a new postprocessing algorithm in which six common types of erroneous yield monitor values were removed: (1) combine header status up; (2) start‐/end‐pass delays ...
G. C. Simbahan, A. Dobermann, J. L. Ping
openaire   +1 more source

Automated Grain Yield Behavior Classification

JOM, 2019
A method for classifying grain stress evolution behaviors using unsupervised learning techniques is presented. The method is applied to analyze grain stress histories measured in situ using high-energy x-ray diffraction microscopy from the aluminum–lithium alloy Al-Li 2099 at the elastic–plastic transition (yield).
Darren C. Pagan   +5 more
openaire   +1 more source

Grazed Wheat Grain Yield Relationships

Agronomy Journal, 1991
AbstractIrrigated wheat (Triticum aestivum L.) in Texas is grown in early‐planted production systems that are grazed by stocker cattle (Bos spp.) and late‐planted nongrazed production systems. The objectives were to: (i) verify cultivar ✕ production system interactions for 11 cultivars in 1988 and (ii) better understand grain yield relationships using ...
S.R. Winter, J.T. Musick
openaire   +1 more source

Nitrogen Utilization Efficiency: Relationships with Grain Yield, Grain Protein, and Yield‐Related Traits in Rice

Agronomy Journal, 2006
Rice (Oryza sativa L.) breeders have historically not included nitrogen utilization efficiency (NUE) as a selection criterion in breeding for cultivars, even though it has economic and ecological implications. This study examined the significance and magnitude of variation in N content, NUE, N translocation ratio (NTR), and grain protein concentration ...
Stanley Omar PB. Samonte   +5 more
openaire   +1 more source

Targeting a gene regulatory element enhances rice grain yield by decoupling panicle number and size

Nature Biotechnology, 2022
Xiaoguang Song   +10 more
semanticscholar   +1 more source

Long-term increased grain yield and soil fertility from intercropping

Nature Sustainability, 2021
Xiao-Fei Li   +23 more
semanticscholar   +1 more source

Enhancing grain-yield-related traits by CRISPR–Cas9 promoter editing of maize CLE genes

Nature Plants, 2021
Lei Liu   +7 more
semanticscholar   +1 more source

Wheat yields: Doubling-up on grain numbers

Nature Plants, 2015
Modulating the expression of two flowering-genes can be used to produce wheat spikes with modified spikelet arrangement and higher grain number.
openaire   +2 more sources

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