PJB-2020-420
EVALUATION OF THE RELATIONSHIPS BETWEEN BIOMASS YIELD AND SOME MORPHOLOGICAL AND PHYSIOLOGICAL TRAITS IN SWITCHGRASS VARIETIES GROWN UNDER IRRIGATED AND RAINFED CONDITIONS
Erdal Gonulal
Abstract
This study was conducted in randomized blocks experimental design with six different switchgrass varieties (Kanlow, Alamo, Shelter, Trailblazer, Shawnee, Cave in rock) which grown under irrigated (four years) and rainfed conditions (five years) in order to determine the relationship between biomass yield and some agricultural traits and genotype x trait relations from 2015 to 2019 in Konya - Karapınar region. The relationships between the traits examined were evaluated with biplot analysis to interpret visually together with correlation analysis. In the study, it was determined that plant height (PH) and tiller weight (TW) were indicators both under irrigated and rainfed conditions in terms of the relationship between biomass yield and agricultural traits. It has also been determined that under rainfed conditions canopy temperature (CT) and under irrigated conditions number of days to flowering (FD) are the most effective traits that can be used to foresee biomass yield. In addition, it was determined that tiller number (TN) in upland ecotype has a positive relationship with biomass yield. In terms of genotype x trait relationship, root dry yield (RDY) and root fresh yield (RFY), FD, leaf water content (LWR), chlorophyll content (CC), PH, TW and PY traits were in the section of Kanlow and Alamo varieties in lowland ecotype that has high biomass yield. These traits had a positive relationship with biomass yield in varieties of lowland ecotype. Under rainfed conditions, there are traits such as stomal conductivity, PH and TN in the section where Kanlow variety, which has the highest biomass yield and LWR, CC, RDY, RFY and biomass yield in the section where the Alamo variety is vertex. In the section where Trailblazer variety is vertex, biomass yield, PY, TN and NDVI traits were included. Key Words: Biomass, biplot analysis, change climate, drought, ,root biomass, switchgrass
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