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Agricultural Field Experiments by Roger G. Petersen

By Roger G. Petersen

This article offers statistical and biometrical systems for designing, carrying out, interpreting and examining box experiments. It addresses crucial study themes in agriculture, together with agronomy, breeding and pasture trials; farming platforms examine; and intercropping study.

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This page intentionally left blank Part II Genetic Improvement This page intentionally left blank Chapter 3 Developments in Quantitative Genetics and Genomics Relevant for Poultry Breeding P. Bijma and H. Bovenhuis Animal Breeding and Genomics Centre, Wageningen University, The Netherlands Abstract Developments in genetics and genomics relevant for poultry breeding are reviewed, focusing on the use of molecular information in breeding pro­ grammes and the potential for improving traits affected by social interactions among individuals.

The nature of a scientific experiment is to define the inputs a priori (feed amount and quality) whereas the management guides define the objectives (weekly target weight). In an environment in which feed can be produced to a reliable standard on a regular basis and where feed raw materials are simple and subject to little variation it is possible to determine with some confidence the amount of daily feed allocation which will result in a desired body weight profile. This would generally be the case in the USA but is not the situation in many other countries.

These suggestive QTL will need to be verified in further experiments or by using the findings of other studies. Abasht et al. (2006) report that in several cases QTL have been detected for similar traits in similar chromosomal locations. Those confirmed QTL are ready to be used in breeding schemes. However, traditional QTL mapping experiments will give inaccurate information on the location of the causative mutation. Depending upon the size of the experiment and the size of the mapping population, confidence intervals are in the order of 20–50 cM.

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