Late-season prediction of wheat grain yield and grain protein

被引:55
|
作者
Freeman, KW
Raun, WR [1 ]
Johnson, GV
Mullen, RW
Stone, ML
Solie, JB
机构
[1] Oklahoma State Univ, Dept Plant & Soil Sci, Stillwater, OK 74078 USA
[2] Oklahoma State Univ, Dept Agr & Biosyst Engn, Stillwater, OK 74078 USA
关键词
D O I
10.1081/CSS-120023219
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Pre-harvest prediction of winter wheat (Triticum aestivum L.) grain yield and/or protein could assist farmers in generating yield maps and reliable product marketing. This study was conducted to determine the relationship between spectral measurements (taken from Feekes growth stage 8 to physiological maturity) and grain yield and grain protein. Spectral measurements were taken using photodiode detectors and interference filters for near-infrared (NIR) and red spectral bands. The study was conducted over 2 years at seven locations where existing field experiments were already in place across Oklahoma. Spectral readings were taken at Feekes growth stages 8, 9, 10.5, 11.2, and 11.4. The normalized difference vegetative index (NDVI) was calculated. In both cropping cycles, NDVI was well correlated with grain yield, grain N uptake, straw N uptake, and total N uptake at Feekes growth stages 9 and 10.5 (R-2 > 0.5). However, by Feekes 11.2 no relationship between NDVI and grain yield or N uptake was observed. In 1999-2000 at Feekes 11.4 (harvest), NDVI and grain yield were poorly correlated. Across locations and years, no consistent relationship existed between NDVI and grain N or straw N at any stage of growth. Grain N and straw N could not be reliably predicted using NDVI at any stage of growth.
引用
收藏
页码:1837 / 1852
页数:16
相关论文
共 50 条
  • [31] The use of grain protein deviation for identifying wheat cultivars with high grain protein concentration and yield
    James M. Monaghan
    John W. Snape
    A. Jan S. Chojecki
    Peter S. Kettlewell
    Euphytica, 2001, 122 : 309 - 317
  • [32] Late-Season Nitrogen Applications Increase Soybean Yield and Seed Protein Concentration
    Chiluwal, Anuj
    Haramoto, Erin R.
    Hildebrand, David
    Naeve, Seth
    Poffenbarger, Hanna
    Purcell, Larry C.
    Salmeron, Montserrat
    FRONTIERS IN PLANT SCIENCE, 2021, 12
  • [33] GRAIN-YIELD AND PROTEIN RELATIONSHIPS IN A WHEAT CROSS
    HALLORAN, GM
    CROP SCIENCE, 1981, 21 (05) : 699 - 701
  • [34] Effects of cultivar and soil fertility on grain protein yield, grain protein content, flour yield and breadmaking quality of wheat
    Metho, LA
    Taylor, JRN
    Hammes, PS
    Randall, PG
    JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, 1999, 79 (13) : 1823 - 1831
  • [35] Genetics of the Inverse Relationship between Grain Yield and Grain Protein Content in Common Wheat
    Geyer, Manuel
    Mohler, Volker
    Hartl, Lorenz
    PLANTS-BASEL, 2022, 11 (16):
  • [36] Stability analysis of stem solidness, grain yield, and grain protein concentration in spring wheat
    Subedi, Maya
    Carcamo, Hector A.
    Knodel, Janet J.
    Weaver, David K.
    Cuthbert, Richard D.
    Pozniak, Curtis J.
    Nilsen, Kirby T.
    Beres, Brian L.
    CANADIAN JOURNAL OF PLANT SCIENCE, 2021, 101 (04) : 456 - 475
  • [37] Late-season nitrogen applications improve grain yield and fertilizer-use efficiency of dry direct-seeded rice in the tropics
    Liu, Hongyan
    Won, Phyo L. P.
    Banayo, Nino P. M.
    Nie, Lixiao
    Peng, Shaobing
    Kato, Yoichiro
    FIELD CROPS RESEARCH, 2019, 233 : 114 - 120
  • [38] NITROGEN NUTRITION ON LEAF CHLOROPHYLL, CANOPY REFLECTANCE, GRAIN PROTEIN AND GRAIN YIELD OF WHEAT VARIETIES WITH CONTRASTING GRAIN PROTEIN CONCENTRATION
    Saleem, M. F.
    Ma, B. L.
    Voldeng, H.
    Wang, Tong-Chao
    JOURNAL OF PLANT NUTRITION, 2010, 33 (11) : 1681 - 1695
  • [39] Genomic Prediction of Wheat Grain Yield Using Machine Learning
    Sirsat, Manisha Sanjay
    Oblessuc, Paula Rodrigues
    Ramiro, Ricardo S.
    AGRICULTURE-BASEL, 2022, 12 (09):
  • [40] Prediction of Grain Yield in Wheat by CHAID and MARS Algorithms Analyses
    Demirel, Fatih
    Eren, Baris
    Yilmaz, Abdurrahim
    Turkoglu, Aras
    Haliloglu, Kamil
    Niedbala, Gniewko
    Bujak, Henryk
    Jamshidi, Bita
    Pour-Aboughadareh, Alireza
    Bocianowski, Jan
    Nowosad, Kamila
    AGRONOMY-BASEL, 2023, 13 (06):