scholarly journals Genomic sequence resource of Kabatiella zeae, the causative pathogen of corn eyespot disease

2021 ◽  
Author(s):  
Yafei Wang ◽  
Jinai Yao ◽  
Xinyao Xia ◽  
zhiqiang li ◽  
Shaoqun Zhou ◽  
...  
Keyword(s):  
Zea Mays ◽  
Genetic Variation ◽  
Genome Size ◽  
Illumina Sequencing ◽  
Fungal Pathogen ◽  
Zea Mays L ◽  
Genomic Sequence ◽  
Gc Content ◽  
Causative Pathogen ◽  
Eyespot Disease

Kabatiella zeae is the causative pathogen of corn eyespot disease, which is an important leaf disease that damages the corn (Zea mays L.) worldwide. In this study, we provided an annotated draft of the assembled genome of the K.zeae field strain KZ1 through PacBio and Illumina sequencing. The assembled KZ1 genome size is 23,602,820 bp, and its GC content is 50.71%. The completeness of the assembled genome is 97.6% in this study. The assembly obtained in this study has 94 contigs and the length of N50 is 720,243 bp. This study is the first report of the K. zeae genome, which contributes to further research on the genetic variation and pathogenic mechanism of this important fungal pathogen.

scholarly journals GENETIC VARIATION OF MAIZE GENOTYPES (ZEA MAYS L.) DETECTED USING SDS-PAGE

2017 ◽  
Vol 6 (4) ◽  
pp. 1086-1089
Author(s):  
Martin Vivodík ◽  
Želmíra Balážová ◽  
Zdenka Gálová ◽  
Lenka Petrovičová
Keyword(s):  
Zea Mays ◽  
Genetic Variation ◽  
Zea Mays L ◽  
Maize Genotypes ◽  
Sds Page

Genetic Variation of Quality Traits in Maize ( Zea mays L.) Forage 1

Crop Science ◽  
1970 ◽  
Vol 10 (4) ◽  
pp. 365-367 ◽  
Author(s):  
L. S. Roth ◽  
G. C. Marten ◽  
W. A. Compton ◽  
D. D. Stuthman
Keyword(s):  
Zea Mays ◽  
Genetic Variation ◽  
Zea Mays L ◽  
Quality Traits

scholarly journals Phyllachora maydis, Causal Agent of Tar Spot on Corn, Can Overwinter in Northern Illinois

2019 ◽  
Vol 20 (3) ◽  
pp. 178-178 ◽  
Author(s):  
Nathan M. Kleczewski ◽  
James Donnelly ◽  
Russ Higgins
Keyword(s):  
United States ◽  
Zea Mays ◽  
Fungal Pathogen ◽  
Zea Mays L ◽  
The United States ◽  
Causal Agent ◽  
Controlled Conditions ◽  
Tar Spot

Tar spot on corn (Zea mays L.), caused by the obligate fungal pathogen Phyllachora maydis Maubl., was first detected in the United States in 2015. Currently, the disease has been detected in 172 counties across Florida, Illinois, Indiana, Iowa, Michigan, Ohio, and Wisconsin. Although observations indicate that P. maydis likely overwinters in the region, this has not been conclusively proven. Samples of corn foliage heavily infected with P. maydis were recovered from two fields in northern Illinois in March 2019. Ascospores were extracted and were applied to corn seedlings under controlled greenhouse conditions. Symptoms of tar spot were observed 17 days after inoculation, and ascospores were extracted from stromata to confirm P. maydis. This is the first conclusive proof that P. maydis can overwinter the United States. We also present a preliminary greenhouse method that, if optimized, may be used to study this pathosystem under controlled conditions.

Genetic variation in maize (Zea mays L.) for germination and emergence at 10�C

Euphytica ◽  
1979 ◽  
Vol 28 (2) ◽  
pp. 287-295 ◽  
Author(s):  
H. A. Eagles ◽  
A. K. Hardacre
Keyword(s):  
Zea Mays ◽  
Genetic Variation ◽  
Zea Mays L

scholarly journals Genetic diversity of local corn (Zea mays) cultivars from South Amarasi, Kupang District, Indonesia by Inter Simple Sequence Repeats marker

2020 ◽  
Vol 21 (3) ◽  
Author(s):  
Uslan Uslan ◽  
NUR JANNAH
Keyword(s):  
Genetic Diversity ◽  
Zea Mays ◽  
Genetic Variation ◽  
Genetic Distance ◽  
Simple Sequence Repeats ◽  
Zea Mays L ◽  
Sample Collection ◽  
High Genetic Diversity ◽  
Inter Simple Sequence Repeats ◽  
Simple Sequence

Abstract. Uslan, Jannah N. 2020. Genetic diversity of local corn (Zea mays) cultivars from South Amarasi, Kupang District, Indonesia by Inter Simple Sequence Repeats marker. Biodiversitas 21: 1208-1214. Corn (Zea mays L.) is one of the most important food crops in Indonesia. However, the studies described their genetic variation is relatively poor. Therefore, the aim of this study was to analyze the genetic diversity of local corn cultivars from South Amarasi, Kupang District, East Nusa Tenggara (NTT), Indonesia using ISSR markers. The sampling was conducted in 4 different sites in Sub-district of Amarasi, Kupang District. A total of 11 corn cultivars from Sub-district of South Amarasi was collected. DNA isolation was performed by using CTAB Method. Clustering analysis was conducted on MSVP 3.2 software. It was shown that all ISSR-primers used (UBC 811, UBC 814 and UBC 824) were successfully produced polymorphic bands and represents the high genetic diversity of the local corn cultivars. The genetic distance index indicated that several corn cultivars from two different populations were geographically unclustered, although there are samples from several populations that have a low genetic distance. The genetic variation index also showed high genetic diversity among the populations. Further research on the exhaustive sample collection was needed to give an insight into the genetic diversity of local corn cultivars (Zea mays L.) from South Amarasi, Indonesia. Please write implementation of this research

scholarly journals Habilidad combinatoria de 8 líneas élites dominicanas de maíz (Zea Mays L.)

2016 ◽  
Vol 4 ◽  
pp. 65
Author(s):  
José Richard Ortiz ◽  
Pedro Comalat Rodes
Keyword(s):  
Zea Mays ◽  
Genetic Variation ◽  
Grain Yield ◽  
Combining Ability ◽  
Zea Mays L ◽  
Inbred Lines ◽  
Additive Genetic Variation

Twenty eight inter-crosses from a diallel set of 8 Dominican inbred lines of maize were evaluated in 1990. The specific objectives were to determine general(gca) and specific (SCA) combining ability and to predict the best two and three-way hybrids. The inheritance of yield was determined by diaIlel analysis. General and specific (sca) combining ability and specific mean squares were statistically significant in yield, being the additive genetic variation much larger than the non additive variation. The parental T66 and NO3 showed the highest gca values and DK12xT66 (9.02 t/ha),NO2xNO3 (8.57t/ha) and DK12xT66 (8.36 t/ha) the best  sca values. The results partially agree with previous studies. The best three and two way hybrids predictions were (NO3xT66)x NO3 and(NO2xT66) (NO3xDK14) with grain yield of 8.80 and 8.30 t/ha.

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