In cattle production systems, an intense selection pressure for production traits has resulted in the decline of fertility traits. To optimize an efficient reproduction system, the inclusion of both male and female fertility traits in the selection process is very much essential. RAPD (Random Amplified Polymorphic DNA) was developed as a molecular biology tool and has been extensively used, to study intra‐ and interspecific genetic diversity. The present study was undertaken to utilize RAPD primers to investigate the association between DNA markers and semen quality traits viz. Sperm concentration, total sperm count ejaculate and initial sperm motility and thereby to identify good/poor semen producers. DNA isolated from the blood samples of healthy bulls was subjected to RAPD‐PCR. The multiple regression analysis followed by independent t test was carried out to identify suitable markers. Based on the results, only 12 bands were identified as marker suitable for any of the quality trait. This includes, OPA2 ~ 760, OPA2 ~ 700, OPA6 ~ 1,200, OPA9 ~ 400, OPA9 ~ 380, OPA12 ~ 970, OPA14 ~ 715, OPA14 ~ 605, OPA16 ~ 485, OPA17 ~ 860 and OPA18 ~ 480. Multiple regression analysis selected, OPA2 ~ 760 and OPA2 ~ 1,750 for sperm concentration and OPA2 ~ 760, OPA2 ~ 700, OPA9 ~ 620, OPA4 ~ 670 and OPA18 ~ 1,015 for total sperm count/ejaculate. But the t test revealed a significant association between OPA2 ~ 760 and total sperm count. Further, discriminant function analysis also identified this marker in the first step itself. The results of the present study can be exploited as a low‐cost alternative strategy for identification of good /poor semen producers in crossbred bulls at an early age.

中文翻译：

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建立基于 RAPD 标记的荷斯坦杂交公牛优质精液生产分类标准

在牛生产系统中，对生产性状的强烈选择压力导致了生育性状的下降。为了优化一个有效的繁殖系统，在选择过程中包括男性和女性的生育性状是非常必要的。RAPD（随机扩增多态性 DNA）被开发为一种分子生物学工具，并已被广泛用于研究种内和种间遗传多样性。本研究旨在利用 RAPD 引物来研究 DNA 标记与精液质量特征之间的关联，即。精子浓度、射精总精子数和初始精子活力，从而确定精液生产者的好/坏。从健康公牛的血液样本中分离出的 DNA 进行了 RAPD-PCR。多元回归分析后进行独立进行t检验以确定合适的标记。根据结果​​，只有 12 个条带被鉴定为适合任何品质性状的标记。这包括 OPA2 ~ 760、OPA2 ~ 700、OPA6 ~ 1,200、OPA9 ~ 400、OPA9 ~ 380、OPA12 ~ 970、OPA14 ~ 715、OPA14 ~ 605、OPA16 ~ 485、OPA10 ~ OPA17 ~ 86 多元回归分析。已选择，OPA2 ~ 760 和 OPA2 ~ 1,750 用于精子浓度，OPA2 ~ 760、OPA2 ~ 700、OPA9 ~ 620、OPA4 ~ 670 和 OPA18 ~ 1,015 用于总精子数/射精。但是t测试显示 OPA2 ~ 760 与总精子数之间存在显着关联。此外，判别函数分析也在第一步本身中识别了这个标记。本研究的结果可以作为一种低成本的替代策略，用于在早期识别杂交公牛的优良/劣质精液生产者。