Open AccessVARIABILITY OF SOME BROOMRAPE POPULATIONS FROM CHINA. MORPHOMETRY AND RACE IDENTIFICATION (I)
Author(s) -
Duca Maria,
Ana Mutu,
Ina Bivol,
Steliana Clapco,
Chao Wang
Publication year - 2021
Publication title -
akademos : revista de ştiinţă, inovare, cultură şi artă
Language(s) - English
Resource type - Journals
eISSN - 2587-3687
pISSN - 1857-0461
DOI - 10.52673/18570461.21.1-60.05
Subject(s) - homogeneous , biology , race (biology) , inner mongolia , population , veterinary medicine , coefficient of variation , botany , china , demography , statistics , mathematics , geography , medicine , archaeology , combinatorics , sociology
The article is a synthesis of some studies on the identification of broomrape races originating from China and the determination of the level of intra- and interpopulation variability based on the morphometric parameters of the seeds. The racial status of the analyzed populations was established, also two races of broomrape were identified: race G (Ch1 from Inner Mongolia and Ch3 from HeBei) and race H (Ch2 from Inner Mongolia) using internationally recognized differential Or homosygous lines set. Comparative analyses on the morphometric characteristics of broomrape revealed significant differences in seed Length (Ch1 and Ch3 populations, race G) and Length/width ratio (Ch3 and Ch4), which is an indication of the moderate level of interpopulation variability. In the case of assess of the intrapopulation variability level, the relatively homogeneous (Ch2, Ch3 and Ch4) and relatively heterogeneous (Ch1) populations were identified. According to the coefficient of variation, the population Ch2 identified as H broomrape race has distinguished as the most homogeneous for the investigated biometric indices of the seeds. The moderate positive correlations (between Length and width seed, between seed length and L/w ratio), the strong positive correlations (between Length and L/w ratio) and also the strong negative correlations (between width and L/w ratio) were established. The results obtained through Pearson coefficient revealed the discrimination of populations by region.