BEFORE YOU READ THE ABSTRACT OR CHAPTER ONE OF THE PROJECT TOPIC BELOW, PLEASE READ THE INFORMATION BELOW.THANK YOU!
INFORMATION:
YOU CAN GET THE COMPLETE PROJECT OF THE TOPIC BELOW. THE FULL PROJECT COSTS N5,000 ONLY. THE FULL INFORMATION ON HOW TO PAY AND GET THE COMPLETE PROJECT IS AT THE BOTTOM OF THIS PAGE. OR YOU CAN CALL: 08068231953, 08168759420
WHATSAPP US ON 08137701720
ANALYSIS OF GENETIC DIVERSITY OF SOME GROUNDNUT (Arachis hypogaea L.) GENOTYPES USING PRINCIPAL COMPONENT ANALYSIS
ABSTRACT
An investigation was carried out with Fifty (Arachis hypogaea L.) genotypes to assess the genetic diversity for yield and yield related traits. i.e. plant height, canopy spread, number of branches, number of pods per plant, pod yield shelling percentage etc. The experiment was conducted at the Institute for Agricultural Research (IAR) research Farm Samaru Zaria in a Randomized Complete Block Design with three replications. The Ward’s Method using Squared Euclidian distance technique was used for the analysis. The genotypes were evaluated for nine traits which include (plant height, canopy spread, number of branches, number of pods per plant, pod yield etc.) and showed wide variability for the components studied. Positive correlation was observed between plant height, canopy spread and yield. The cluster analysis grouped the fifty Groundnut genotypes into eight different clusters. This indicates the presence of wide diversity among the tested genotypes. The cluster analysis grouped the fifty Groundnut genotypes into eight different clusters. This indicates the presence of wide diversity among the tested genotypes. From cluster mean values, genotypes in cluster 1, 2, 3 and 4 deserve consideration for their direct use as parents in hybridization programs to develop high yielding Groundnut varieties. The genotypes in cluster 5 may be used for improvement and other desirable characters other than grain yield. The result of the principal components analysis revealed that four principal components (PC1 to PC4) accounted nearly 76.92 % of the total variation. It was also noted that differentiation of genotypes into different clusters was because of the small contribution of few character rather than the cumulative effect of a number of characters.
HOW TO RECEIVE PROJECT MATERIAL(S)
After paying the appropriate amount (#5,000) into our bank Account below, send the following information to
08068231953 or 08168759420
(1) Your project topics
(2) Email Address
(3) Payment Name
(4) Teller Number
We will send your material(s) after we receive bank alert
BANK ACCOUNTS
Account Name: AMUTAH DANIEL CHUKWUDI
Account Number: 0046579864
Bank: GTBank.
OR
Account Name: AMUTAH DANIEL CHUKWUDI
Account Number: 3139283609
Bank: FIRST BANK
FOR MORE INFORMATION, CALL:
08068231953 or 08168759420