Significance of field trials data cleaning process for making more reliable breeder decisions
Field trials supposed to enable selection of the most successful genotypes which is critical because of the existence of Genotype by Environment interaction. To assess this interaction we are forced to conduct field trials in several environments and/or years. When we asses grain yield of maize hybr...
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Format: | Article |
Language: | English |
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Serbian Association of Plant Breedings and Seed Producers
2019-01-01
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Series: | Selekcija i Semenarstvo |
Subjects: | |
Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/0354-5881/2019/0354-58811902023B.pdf |
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author | Babić Milosav Čanak Petar Vujošević Bojana Babić Vojka Stanisavljević Dušan |
author_facet | Babić Milosav Čanak Petar Vujošević Bojana Babić Vojka Stanisavljević Dušan |
author_sort | Babić Milosav |
collection | DOAJ |
description | Field trials supposed to enable selection of the most successful genotypes which is critical because of the existence of Genotype by Environment interaction. To assess this interaction we are forced to conduct field trials in several environments and/or years. When we asses grain yield of maize hybrids during the breeding process, it is always based on multi-environment small plot field trial (MESPT). That is why this part of the breeding process is most demanding in terms of technical, financial and labor requirements. In this paper, one possible systematic approach to assessing multi-environment field trials conduction is described. The main goal of the described approach is to provide the best possible results with the use of reasonable resources. As the results of trials cannot be directly interpreted without previous statistical processing, quality of raw data as input for biometrical (statistical) analysis is essential for obtaining a relevant and objective measure of genotype relative value in terms of productivity and adaptability (reliability) of new advanced maize hybrids. There are many definitions of data quality but data is generally considered high quality if it is fit for intended uses in operations, decision making and planning. The main aim of this paper is to underline the importance of the data cleaning process in MESPT. |
first_indexed | 2024-04-13T18:36:32Z |
format | Article |
id | doaj.art-cd88476148174aa0bb5bab35bbd2c633 |
institution | Directory Open Access Journal |
issn | 0354-5881 2406-209X |
language | English |
last_indexed | 2024-04-13T18:36:32Z |
publishDate | 2019-01-01 |
publisher | Serbian Association of Plant Breedings and Seed Producers |
record_format | Article |
series | Selekcija i Semenarstvo |
spelling | doaj.art-cd88476148174aa0bb5bab35bbd2c6332022-12-22T02:34:53ZengSerbian Association of Plant Breedings and Seed ProducersSelekcija i Semenarstvo0354-58812406-209X2019-01-0125223300354-58811902023BSignificance of field trials data cleaning process for making more reliable breeder decisionsBabić Milosav0https://orcid.org/0000-0003-3123-6246Čanak Petar1Vujošević Bojana2Babić Vojka3https://orcid.org/0000-0002-2719-1260Stanisavljević Dušan4Institutte for Field and Vegetable Crops, Novi SadInstitutte for Field and Vegetable Crops, Novi SadInstitutte for Field and Vegetable Crops, Novi SadMaize Research Institute "Zemun Polje", BelgradeInstitutte for Field and Vegetable Crops, Novi SadField trials supposed to enable selection of the most successful genotypes which is critical because of the existence of Genotype by Environment interaction. To assess this interaction we are forced to conduct field trials in several environments and/or years. When we asses grain yield of maize hybrids during the breeding process, it is always based on multi-environment small plot field trial (MESPT). That is why this part of the breeding process is most demanding in terms of technical, financial and labor requirements. In this paper, one possible systematic approach to assessing multi-environment field trials conduction is described. The main goal of the described approach is to provide the best possible results with the use of reasonable resources. As the results of trials cannot be directly interpreted without previous statistical processing, quality of raw data as input for biometrical (statistical) analysis is essential for obtaining a relevant and objective measure of genotype relative value in terms of productivity and adaptability (reliability) of new advanced maize hybrids. There are many definitions of data quality but data is generally considered high quality if it is fit for intended uses in operations, decision making and planning. The main aim of this paper is to underline the importance of the data cleaning process in MESPT.https://scindeks-clanci.ceon.rs/data/pdf/0354-5881/2019/0354-58811902023B.pdffield inspectionmaize breedingplot scoringproper resultsraw data cleaning |
spellingShingle | Babić Milosav Čanak Petar Vujošević Bojana Babić Vojka Stanisavljević Dušan Significance of field trials data cleaning process for making more reliable breeder decisions Selekcija i Semenarstvo field inspection maize breeding plot scoring proper results raw data cleaning |
title | Significance of field trials data cleaning process for making more reliable breeder decisions |
title_full | Significance of field trials data cleaning process for making more reliable breeder decisions |
title_fullStr | Significance of field trials data cleaning process for making more reliable breeder decisions |
title_full_unstemmed | Significance of field trials data cleaning process for making more reliable breeder decisions |
title_short | Significance of field trials data cleaning process for making more reliable breeder decisions |
title_sort | significance of field trials data cleaning process for making more reliable breeder decisions |
topic | field inspection maize breeding plot scoring proper results raw data cleaning |
url | https://scindeks-clanci.ceon.rs/data/pdf/0354-5881/2019/0354-58811902023B.pdf |
work_keys_str_mv | AT babicmilosav significanceoffieldtrialsdatacleaningprocessformakingmorereliablebreederdecisions AT canakpetar significanceoffieldtrialsdatacleaningprocessformakingmorereliablebreederdecisions AT vujosevicbojana significanceoffieldtrialsdatacleaningprocessformakingmorereliablebreederdecisions AT babicvojka significanceoffieldtrialsdatacleaningprocessformakingmorereliablebreederdecisions AT stanisavljevicdusan significanceoffieldtrialsdatacleaningprocessformakingmorereliablebreederdecisions |