Efficiency of Balanced Incomplete Block Design in Assessing Wheat Productivity
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Abstract
The present paper offers a procedure for constructing a solvable incomplete block design with claiming diversities t and blocks k, provided that t is a multiple of k. They incorporate relevant illustrations, exceptional examples, a portion grid, and a more concise cyclical design. Those designs are indicated as accessible with high-efficiency blocks for an inclusive range of observation values. This study includes data for comparing wheat varieties using balanced incomplete block design analysis techniques. The data are provided by the Directorate of Agricultural Research, Sulaymaniyah-Bakrjo. The study deals with 9 treatments and 12 blocks. By using the SPSS package version 27. This paper assesses the null hypothesis as:
Null hypothesis (H0): All nine wheat treatment means are equal to each other.
Alternative hypothesis (H1): At least one group mean differs significantly from the others.
The consequences demonstrate statistically significant differences among wheat types and blocks. On the other hand, the present paper suggests expanding the use of balanced, incomplete block design in agricultural experiments. Executives in the Central Office of Statistics should utilize advanced statistical methods to investigate the rise in the quality and quantity of agricultural products. Conducting uninterrupted studies on the agricultural products, especially with the occurrence of the economic and social crisis, by introducing more designs that affect the income of people.
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