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  • 1
    In: Crop Protection, Elsevier BV, Vol. 139 ( 2021-01), p. 105384-
    Type of Medium: Online Resource
    ISSN: 0261-2194
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 2020750-5
    SSG: 12
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  • 2
    Online Resource
    Online Resource
    IPR Journals and Books (International Peer Reviewed Journals and Books) ; 2023
    In:  International Journal of Agriculture Vol. 8, No. 2 ( 2023-08-09), p. 54-68
    In: International Journal of Agriculture, IPR Journals and Books (International Peer Reviewed Journals and Books), Vol. 8, No. 2 ( 2023-08-09), p. 54-68
    Abstract: Purpose: The primary objective of any breeding program is to increase yields, thus superior lines based on yields are used as parents. After parents’ selection, hybrids may not perform as expected because the performance is influenced by the interactions of genotypes used, which the breeder must be well conversant with for accurate prediction of the ultimate hybrids.  Methodology: This study aimed at characterizing tropical maize germplasm on plant density tolerance and comparing combining abilities for grain yield on 120 hybrids obtained by crossing 24 males with 30 female lines using North Carolina design 2 (sets option). This was done under low (53,333), medium (66,666), and high density (88,888) plants per ha in three different zones; Kiboko (marginal zone), Embu (transitional medium), and Kakamega (upper medium). General combining ability (GCA) of 54 maize inbred lines was estimated and specific combining ability (SCA) established for 120 hybrids in 6 sets of 20 each based on family decent. They were evaluated under optimal conditions in the 3 sites named above. Evaluation was done at low, medium and high plant densities under study. The hybrids were planted in a 31*8 alpha lattice design, four local commercial varieties incorporated as checks, and the experiment replicated twice. Data collected included various agronomical traits associated with tolerance to high plant density. Field book software (CIMMYT) was used to organize data and perform preliminary analysis while SAS program (Frederick, 1999) was used to compute analysis of variance (ANOVA) for North Carolina design 2 (NC2). Findings: Observation revealed increase in plant height, grain yield, ear height, anthesis silking interval, days to 50% silking but lead to reduction in leaf angle with increase in plant density from 53,333 to 66,666 and then to 88,888. Six hybrids were significantly earlier than the check hybrids CKH10717, H517, WH505 and PHB30G19 under the 3 densities. In contrast, 6 varieties were later than all the above checks for the 3 densities. Line CKL15276 had the highest GCA effects for anthesis and days to silking at the three plant densities and highest grain yield at 66,666 plant density. In contrast female line CKL15303 had the highest negative GCA effects for anthesis and days to silking at the three plant densities revealing earliness traits. Likewise, lines CML444, CML 436 and CKL151431 had highly significant GCA effects for field and grain weights. The hybrid CKH 156598 had the highest significant SCA effects for grain yield at 66,666 plant density and for field weight at the three plant densities. Unique Contribution to Theory, Practice and Policy: The study was informed by Diallel Crossing Theory and conducting systematic field trials, researchers can gain insights into the genetic effects of combining different maize inbred lines and identify potential candidates for developing maize varieties with improved high plant density tolerance in the specified region. This reveals presence of superior alleles and desirable SCA effects and thus can be utilized as parents in hybrid formation and further breeding work. The study also recommends that support should be garnered from relevant government agencies and policymakers to allocate resources for the collaborative network's activities. Advocate for policies that promote research and development in maize breeding for high plant density tolerance.
    Type of Medium: Online Resource
    ISSN: 2520-4629
    Language: Unknown
    Publisher: IPR Journals and Books (International Peer Reviewed Journals and Books)
    Publication Date: 2023
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  • 3
    In: Plants, MDPI AG, Vol. 9, No. 4 ( 2020-04-08), p. 468-
    Abstract: Prior knowledge on heterosis and quantitative genetic parameters on maize lethal necrosis (MLN) can help the breeders to develop numerous resistant or tolerant hybrids with optimum resources. Our objectives were to (1) estimate the quantitative genetic parameters for MLN disease severity, (2) investigate the efficiency of the prediction of hybrid performance based on parental per se and general combining ability (GCA) effects, and (3) examine the potential of hybrid prediction for MLN resistance or tolerance based on markers. Fifty elite maize inbred lines were selected based on their response to MLN under artificial inoculation. Crosses were made in a half diallel mating design to produce 307 F1 hybrids. All hybrids were evaluated in MLN quarantine facility in Naivasha, Kenya for two seasons under artificial inoculation. All 50 inbreds were genotyped with genotyping-by-sequencing (GBS) SNPs. The phenotypic variation was significant for all traits and the heritability was moderate to high. We observed that hybrids were superior to the mean performance of the parents for disease severity (−14.57%) and area under disease progress curve (AUDPC) (14.9%). Correlations were significant and moderate between line per se and GCA; and mean of parental value with hybrid performance for both disease severity and AUDPC value. Very low and negative correlation was observed between parental lines marker based genetic distance and heterosis. Nevertheless, the correlation of GCA effects was very high with hybrid performance which can suggests as a good predictor of MLN resistance. Genomic prediction of hybrid performance for MLN is high for both traits. We therefore conclude that there is potential for prediction of hybrid performance for MLN. Overall, the estimated quantitative genetic parameters suggest that through targeted approach, it is possible to develop outstanding lines and hybrids for MLN resistance.
    Type of Medium: Online Resource
    ISSN: 2223-7747
    Language: English
    Publisher: MDPI AG
    Publication Date: 2020
    detail.hit.zdb_id: 2704341-1
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  • 4
    In: Plants, MDPI AG, Vol. 11, No. 22 ( 2022-11-14), p. 3092-
    Abstract: CIMMYT maize lines (CMLs), which represent the tropical maize germplasm, are freely available worldwide. All currently released 615 CMLs and fourteen temperate maize inbred lines were genotyped with 180 kompetitive allele-specific PCR single nucleotide polymorphisms to develop a reference fingerprinting SNP dataset that can be used to perform quality control (QC) and genetic diversity analyses. The QC analysis identified 25 CMLs with purity, identity, or mislabeling issues. Further field observation, purification, and re-genotyping of these CMLs are required. The reference fingerprinting SNP dataset was developed for all of the currently released CMLs with 152 high-quality SNPs. The results of principal component analysis and average genetic distances between subgroups showed a clear genetic divergence between temperate and tropical maize, whereas the three tropical subgroups partially overlapped with one another. More than 99% of the pairs of CMLs had genetic distances greater than 0.30, showing their high genetic diversity, and most CMLs are distantly related. The heterotic patterns, estimated with the molecular markers, are consistent with those estimated using pedigree information in two major maize breeding programs at CIMMYT. These research findings are helpful for ensuring the regeneration and distribution of the true CMLs, via QC analysis, and for facilitating the effective utilization of the CMLs, globally.
    Type of Medium: Online Resource
    ISSN: 2223-7747
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2704341-1
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  • 5
    In: International Journal of Molecular Sciences, MDPI AG, Vol. 21, No. 18 ( 2020-09-06), p. 6518-
    Abstract: Common rust (CR) caused by Puccina sorghi is one of the destructive fungal foliar diseases of maize and has been reported to cause moderate to high yield losses. Providing CR resistant germplasm has the potential to increase yields. To dissect the genetic architecture of CR resistance in maize, association mapping, in conjunction with linkage mapping, joint linkage association mapping (JLAM), and genomic prediction (GP) was conducted on an association-mapping panel and five F3 biparental populations using genotyping-by-sequencing (GBS) single-nucleotide polymorphisms (SNPs). Analysis of variance for the biparental populations and the association panel showed significant genotypic and genotype x environment (GXE) interaction variances except for GXE of Pop4. Heritability (h2) estimates were moderate with 0.37–0.45 for the individual F3 populations, 0.45 across five populations and 0.65 for the association panel. Genome-wide association study (GWAS) analyses revealed 14 significant marker-trait associations which individually explained 6–10% of the total phenotypic variances. Individual population-based linkage analysis revealed 26 QTLs associated with CR resistance and together explained 14–40% of the total phenotypic variances. Linkage mapping revealed seven QTLs in pop1, nine QTL in pop2, four QTL in pop3, five QTL in pop4, and one QTL in pop5, distributed on all chromosomes except chromosome 10. JLAM for the 921 F3 families from five populations detected 18 QTLs distributed in all chromosomes except on chromosome 8. These QTLs individually explained 0.3 to 3.1% and together explained 45% of the total phenotypic variance. Among the 18 QTL detected through JLAM, six QTLs, qCR1-78, qCR1-227, qCR3-172, qCR3-186, qCR4-171, and qCR7-137 were also detected in linkage mapping. GP within population revealed low to moderate correlations with a range from 0.19 to 0.51. Prediction correlation was high with r = 0.78 for combined analysis of the five F3 populations. Prediction of biparental populations by using association panel as training set reveals positive correlations ranging from 0.05 to 0.22, which encourages to develop an independent but related population as a training set which can be used to predict diverse but related populations. The findings of this study provide valuable information on understanding the genetic basis of CR resistance and the obtained information can be used for developing functional molecular markers for marker-assisted selection and for implementing GP to improve CR resistance in tropical maize.
    Type of Medium: Online Resource
    ISSN: 1422-0067
    Language: English
    Publisher: MDPI AG
    Publication Date: 2020
    detail.hit.zdb_id: 2019364-6
    SSG: 12
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  • 6
    Online Resource
    Online Resource
    Informa UK Limited ; 2017
    In:  Journal of Crop Improvement Vol. 31, No. 4 ( 2017-07-04), p. 560-588
    In: Journal of Crop Improvement, Informa UK Limited, Vol. 31, No. 4 ( 2017-07-04), p. 560-588
    Type of Medium: Online Resource
    ISSN: 1542-7528 , 1542-7536
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2017
    detail.hit.zdb_id: 2163790-8
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  • 7
    Online Resource
    Online Resource
    Cambridge University Press (CUP) ; 2018
    In:  Weed Science Vol. 66, No. 4 ( 2018-07), p. 516-524
    In: Weed Science, Cambridge University Press (CUP), Vol. 66, No. 4 ( 2018-07), p. 516-524
    Abstract: The parasitic purple witchweed [ Striga hermonthica (Del.) Benth.] is a serious constraint to maize production in sub-Saharan Africa, especially in poor soils. Various Striga spp. control measures have been developed, but these have not been assessed in an integrated system. This study was conducted to evaluate a set of promising technologies for S. hermonthica management in western Kenya. We evaluated three maize genotypes either intercropped with peanut ( Arachis hypogaea L.), soybean [ Glycine max (L.) Merr.], or silverleaf desmodium [ Desmodium uncinatum (Jacq.) DC] or as a sole crop at two locations under artificial S. hermonthica infestation and at three locations under natural S. hermonthica infestation between 2011 and 2013. Combined ANOVA showed significant (P 〈 0.05) cropping system and cropping system by environment interactions for most traits measured. Grain yield was highest for maize grown in soybean rotation (3,672 kg ha −1 ) under artificial infestation and in D. uncinatum and peanut cropping systems (3,203 kg ha −1 and 3,193 kg ha −1 ) under natural infestation. Grain yield was highest for the Striga spp.-resistant hybrid under both methods of infestation. A lower number of emerged S. hermonthica plants per square meter were recorded at 10 and 12 wk after planting on maize grown under D. uncinatum in the artificial S. hermonthica infestation. A combination of herbicide-resistant maize varieties intercropped with legumes was a more effective method for S. hermonthica control than individual-component technologies. Herbicide-resistant and Striga spp.-resistant maize integrated with legumes would help reduce the Striga spp. seedbank in the soil. Farmers should be encouraged to adopt an integrated approach to control Striga spp. for better maize yields.
    Type of Medium: Online Resource
    ISSN: 1550-2759
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2018
    detail.hit.zdb_id: 2123881-9
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  • 8
    In: Theoretical and Applied Genetics, Springer Science and Business Media LLC, Vol. 128, No. 9 ( 2015-9), p. 1839-1854
    Type of Medium: Online Resource
    ISSN: 0040-5752 , 1432-2242
    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2015
    detail.hit.zdb_id: 1478966-8
    SSG: 12
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  • 9
    In: Agricultural Systems, Elsevier BV, Vol. 162 ( 2018-05), p. 220-228
    Type of Medium: Online Resource
    ISSN: 0308-521X
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
    detail.hit.zdb_id: 1495825-9
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  • 10
    In: Agriculture, MDPI AG, Vol. 10, No. 11 ( 2020-10-30), p. 515-
    Abstract: Understanding the detailed timing of crop phenology and their variability enhances grain yield and quality by providing precise scheduling of irrigation, fertilization, and crop protection mechanisms. Advances in information and communication technology (ICT) provide a unique opportunity to develop agriculture-related tools that enhance wall-to-wall upscaling of data outputs from point-location data to wide-area spatial scales. Because of the heterogeneity of the worldwide agro-ecological zones where crops are cultivated, it is unproductive to perform plant phenology research without providing means to upscale results to landscape-level while safeguarding field-scale relevance. This paper presents an advanced, reproducible, and open-source software for plant phenology prediction and mapping (PPMaP) that inputs data obtained from multi-location field experiments to derive models for any crop variety. This information can then be applied consecutively at a localized grid within a spatial framework to produce plant phenology predictions at the landscape level. This software runs on the ‘Windows’ platform and supports the development of process-oriented and temperature-driven plant phenology models by intuitively and interactively leading the user through a step-by-step progression to the production of spatial maps for any region of interest in sub-Saharan Africa. Maize (Zea mays L.) was used to demonstrate the robustness, versatility, and high computing efficiency of the resulting modeling outputs of the PPMaP. The framework was implemented in R, providing a flexible and easy-to-use GUI interface. Since this allows for appropriate scaling to the larger spatial domain, the software can effectively be used to determine the spatially explicit length of growing period (LGP) of any variety.
    Type of Medium: Online Resource
    ISSN: 2077-0472
    Language: English
    Publisher: MDPI AG
    Publication Date: 2020
    detail.hit.zdb_id: 2651678-0
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