✦ LIBER ✦

The use of regression techniques for predicting the response of peas to environment

✍ Scribed by B. Snoad; A. E. Arthur

Book ID: 104699779
Publisher: Springer
Year: 1976
Tongue: English
Weight: 738 KB
Volume: 47
Category: Article
ISSN: 0040-5752
DOI: 10.1007/bf00277399

No coin nor oath required. For personal study only.

✦ Synopsis

Six pea varieties were grown in seven environments over two consecutive years and the results analysed using regression techniques. In both years a degree of linearity of response to environment was established for many of the characters recorded. Comparisons were made between the values observed in the second year and those predicted from the results of the first year, using 't' tests. As a result of these comparisons it appears that, due to poor linearity of response and/or different degrees of response in different years, accurate predictability of genotype behaviour was not possible.

📜 SIMILAR VOLUMES

Use of Regression Techniques to Predict

Use of Regression Techniques to Predict Hail Size and the Probability of Large Hail

✍ Billet, John; DeLisi, Mark; Smith, Brian G.; Gates, Cory 📂 Article 📅 1997 🏛 American Meteorological Society 🌐 English ⚖ 103 KB

The use of regression methods to study g

The use of regression methods to study genotype-environment interactions

✍ Lin, C S; Binns, M R; Thompson, B K 📂 Article 📅 1977 🏛 Nature Publishing Group 🌐 English ⚖ 155 KB

Factors predicting the non-utilisation o

Factors predicting the non-utilisation of immunisation services using logistic regression technique

✍ C. L. Anandhi; V. K. Nagaraj; K. R. Sundaram; J. Lobo 📂 Article 📅 2000 🏛 Springer-Verlag 🌐 English ⚖ 219 KB

Use of the rhesus monkey for predicting

Use of the rhesus monkey for predicting human response to eye irritants

✍ John Henry Beckley; Thomas J. Russell; Lionel F. Rubin 📂 Article 📅 1969 🏛 Elsevier Science 🌐 English ⚖ 418 KB

Poisson Family Regression Techniques for

Poisson Family Regression Techniques for Prediction of Crash Counts Using Bayesian Inference

✍ Kumar, C. Naveen; Parida, M.; Jain, S.S. 📂 Article 📅 2013 🏛 Elsevier 🌐 English ⚖ 739 KB

Predicting the yield of varieties of mai

Predicting the yield of varieties of maize in a target environment using regression analysis

✍ Chunqiao Mi; Shaoming Li; Xiaodong Zhang; Jianyu Yang; Dehai Zhu; Zhe Liu 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 280 KB

Previous analyses on variety yield have usually focused on regression coefficients as an indicator to measure the stability and adaptation of a specific variety under experimental conditions. Due to the huge differences between experimental plots and farm fields, the model results from experimental