4 research outputs found

    Performance and variability for yield and yield contributing characters in spring wheat

    No full text
    The present study was conducted with twenty bread wheat genotypes at the experimental field of Bangladesh Agricultural University (BAU), Mymensingh, during the period from November 2008 to March 2009 to assess performance of the genotypes, variability, heritability and genetic advance among yield and important yield contributing characters. Considering yield per plant the genotype Peacock was the best followed by BAW-1008, Pavon-76, Mayoor, Bulbul and BAW-1004. BAW-1008 was the early maturing genotype followed by Mayoor, BAW- 861, BAW-1004 and Balaka. BAW-970, Akbar, BAW-1004, Pavon-76, BAW-861 and BAW-1006 were semi dwarf in plant height as such they were of desired type. TP-1 and Mayoor were superior for effective tillers per plant. BAW- 1004 was the best genotype for spike length and grains per spike. For 100-grain weight Bulbul, for harvest index BAW-1006 was the best. Days to 90% maturity, plant height, grains per spike, 100-grain weight and harvest index exhibited high heritability. Among them grains per spike, 100-grain weight and harvest index showed high genetic advance in percentage of mean

    Study on relationship and selection index for yield and yield contributing characters in spring wheat

    No full text
    The present study was conducted with twenty bread wheat genotypes at the experimental field of Bangladesh Agricultural University (BAU), Mymensingh, during the period from November 2008 to March 2009 to assess the relationship and selection index among yield and important yield attributing characters. Days to maturity, grains per spike, 100-grain weight and harvest index showed significant and positive correlation with grain yield per plant. Path coefficient analysis suggested that grains per spike followed by 100-grain weight and effective tillers per plant contributed maximum to grain yield positively and directly. Thus, selection based on these characters might be effective for improving grain yield. Selection indices were constructed through the discriminate functions using eight characters. From the results, the highest relative efficiency was observed with the selection index based on three characters; plant height and grains per spike and grain yield per plant. The present investigation indicates that the index selection based on these three characters might be more effective and efficient for selecting high yielding wheat genotypes

    HQA-Data: A historical question answer generation dataset from previous multi perspective conversation

    No full text
    This data article contains a quality assurance dataset for training the chatbot and chat analysis model. This dataset focuses on NLP tasks, as a model that serves and delivers a satisfactory response to a user's query. We obtained data from a well- known dataset known as “The Ubuntu Dialogue Corpus” for the purpose of constructing our dataset. Which consists of about one million multi-turn conversations containing around seven million utterances and one hundred million words. We derived a context for each dialogueID from these lengthy Ubuntu Dialogue Corpus conversations. We have generated a number of questions and answers based on these contexts. All of these questions and answers are contained within the context. This dataset includes 9364 contexts, 36,438 question-answer pairs. In addition to academic research, the dataset may be used for activities such as constructing this QA for another language, deep learning, language interpretation, reading comprehension, and open-domain question answering. We present the data in raw format; it has been open sourced and publicly available at https://data.mendeley.com/datasets/p85z3v45xk
    corecore