STATISTICAL MODEL FOR THE RELATIONSHIP BETWEEN MAIZE KERNEL ORIENTATION AND SEED LEAF AZIMUTH

التفاصيل البيبلوغرافية
العنوان: STATISTICAL MODEL FOR THE RELATIONSHIP BETWEEN MAIZE KERNEL ORIENTATION AND SEED LEAF AZIMUTH
المؤلفون: Michael D. Buser, Randy Taylor, Bill Raun, Guilherme Torres, Adrian Koller, Paul R. Weckler
المصدر: Experimental Agriculture. 52:359-370
بيانات النشر: Cambridge University Press (CUP), 2015.
سنة النشر: 2015
مصطلحات موضوعية: 0106 biological sciences, Canopy, Simulation modeling, Greenhouse, Sowing, 04 agricultural and veterinary sciences, 01 natural sciences, Azimuth, Agronomy, 040103 agronomy & agriculture, von Mises distribution, 0401 agriculture, forestry, and fisheries, Interception, Agronomy and Crop Science, 010606 plant biology & botany, Mathematics, Hybrid
الوصف: SUMMARYHand-planted plots of across-row-oriented corn seeds (Zeamays L.) produce highly structured leaf canopies and have shown significant yield advantage over randomly planted plots in prior studies. For further investigation of the phenomenon by simulation, the objective of this study was to develop a probabilistic model for the correlation between seed orientation and initial plant orientation. In greenhouse trials, the azimuthal orientation of kernels of four different hybrids was recorded at planting. At collar setting of the seed leaf, the orientation of the seed leaf was determined and the angular data subjected to the analytical methods of circular statistics. The results indicate that the correlation between seed azimuth and seed leaf azimuth can be described by a von Mises distribution. The probabilistic seed to seed leaf azimuth model described herein may be implemented in simulation models to investigate the effect of canopy architecture, canopy closure and light interception efficiency of corn under conditions of seed oriented planting.
تدمد: 1469-4441
0014-4797
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::9f1bd653b88f988b97e7632718c16c11
https://doi.org/10.1017/s0014479715000149
حقوق: OPEN
رقم الأكسشن: edsair.doi...........9f1bd653b88f988b97e7632718c16c11
قاعدة البيانات: OpenAIRE