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Genetic analysis and response to selection for resistance to two stem borers, Busseola fusca and Chilo partellus, in tropical maize germplasm.

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Overall effects of combining ability of the best 20 maize inbred lines for selected traits of black hole resistance and grain yield under B. Specific effects of combining ability of the best 20 test crosses for selected traits of resistance to flow hole and grain yield under C.

Significance of maize in Kenya

Yet an estimated five million farmers in Kenya grow maize at least once a year on two out of three farms (Government of Kenya, 2009; Oscar, 2009). The highland tropics, humid transition zones and mid-altitude agro-ecological zones achieve high yields (>2.5 tonnes ha-1) and produce 80% of Kenya's maize (Government of Kenya, 2009; Oscar, 2009).

Figure 2. Maize yield (t ha -1 ) in Kenya between 2000 and 2011  Source: (FAOSTAT, 2013)
Figure 2. Maize yield (t ha -1 ) in Kenya between 2000 and 2011 Source: (FAOSTAT, 2013)

Maize production constraints in Kenya

Previous studies have shown a clear relationship between borer damage traits (leaf damage, number of exit holes, cumulative tunneling, number of dead hearts, etc.) and wheat yield losses (De Groote et al., 2004; Morais et al., 2012). The values ​​of these losses provide a basis for setting research priorities to justify studies to understand the genetics of resistance to the root borer and selection for borer resistance in tropical maize.

The maize stem borer problem

Economic importance of stem borers

Problem statement and justification

Incidentally, the moisture transition agro-ecological zone has the highest adoption of improved maize varieties (95%) making this area a promising target for insect resistant varieties (De Groote et al., 2005). It provides inherent control without environmental concerns and that it is mostly compatible with other pest management approaches (Morais et al., 2012).

Research objectives, hypotheses, and structure of thesis

Knowledge of the genetics of stem borer resistance (Busseola fusca and Chilo partellus) is limited to a few crosses of maize inbred lines. These challenges can be attributed to the lack of resistant cultivars, limited genetic information on stem borer resistance, and limited information on response to selection for borer resistance.

Research hypotheses

Both line x tester analysis and divergent selection in populations were used in testing for gene action, skill combining, and recurrent selection of S1 progeny to predict genetic gain for stock borer resistance and grain yield between selection cycles. It is possible to detect resistance to stem borers, Busseola fusca and Chilo partellus in maize in greenhouse and laboratory trials using the loose leaf bioassay and whole plant bioassays in maize inbred lines included in this study.

Structure of thesis

Maize Technology Development and Transfer: A GIS Application for Research Planning in Kenya. CABI Publishing/CIMMYT/KARI, Wallingford, UK. Identification of corn borer resistance in transgenic inbred lines and maize hybrids with the GFM Cry1A gene.

Introduction

Maize in Kenya

  • Maize production constraints in Kenya
  • Biology of Busseola fusca
  • Biology of Chilo partellus

The first concise information on the life cycle and the economy of Busseola fusca was carried out by Fuller in the 1900s (Kfir, 1997). The first concise information on the life cycle and the economy of Chilo partellus was carried out by Swinhoe in the 1900s (Kfir, 1997).

Table  1.1:  Maize  area  harvested,  production,  yield  and  amount  of  seed  in  Kenya  between  2000  and  2011
Table 1.1: Maize area harvested, production, yield and amount of seed in Kenya between 2000 and 2011

Geographical distribution of Busseola fusca and Chilo partellus stem borers

Economic importance of Busseola fusca and Chilo partellus

Management of the stem borers

However, its application is still limited due to the polygenic nature of the insect resistance trait, the limited understanding of its inheritance and the high costs associated with plant breeding (Hallauer et al., 2010). This will form the basis for a viable breeding strategy for the use of stem borer-resistant maize hybrids.

Breeding for resistance to maize stem borers

  • Inheritance and combining ability for resistance to stem borers

Genetic components affecting quantitative or polygenic traits can be classified as additive, dominance, and epistasis variance (Falconer et al., 1996). Given that resistance to stem borer is a polygenic trait with low heritability (Falconer et al., 1996), recurrent selection methods would be most appropriate for the accumulation of alleles favorable for resistance.

Recurrent selection in maize

Recent studies in quantitative genetics theory suggest that S1 progeny recurrent selection can be used in breeding for resistance to stem borers in maize populations (Sandoya et al., 2010). The strategy is best given the low heritability of the polygenic traits that constitute stem borer resistance (Hallauer et al., 2010).

Line x tester mating design

With repeated selection of S1 offspring, the expected genetic variation, considering only additive genetic effects, is fourfold greater among half-sib families and twice greater among full-sib families (Sandoya et al., 2008; Hallauer et al., 2010). . Given that there are limited studies on the response of maize populations to selection for pest resistance, this study serves as a reference for determining the value of recurrent selection of S1 progeny to improve B.

Heterotic orientations in maize

  • Determination of heterotic orientations

Characterization of the maize germplasm and its allocation in different heterotic orientations is useful to provide information about the genotypes (Hallauer et al., 2010). Several methods have been used in the allocation of maize lines in different heterotic orientations (Schnable et al., 2013).

Methods of screening maize germplasm for resistance to stem borers

  • Screening methods and rating
    • Leaf disk bioassays method
  • Selection indices
  • Genotype x Environment Interactions

Natural contamination may not be reliable due to lack of uniformity and seasonal variations that occur (Tefera et al., 2010). Several examples in the applications of selection indices with improvements in stem borer resistance and grain yield in maize have been reported in the literature (Ajala et al., 2010).

Table 1.3. Scale for scoring stem borer damage from seedling to whorl-stage in maize  Numerical scores  Visual ratings of plant damage  Reaction to resistance
Table 1.3. Scale for scoring stem borer damage from seedling to whorl-stage in maize Numerical scores Visual ratings of plant damage Reaction to resistance

Conclusions from the literature review

Variability for resistance to pink stem borer (Sesamia calamistis Hampson) and the sugarcane borer (Eldana saccharina Walker) in two tropical maize populations. Indirect response to selection for improving resistance to the Mediterranean corn borer (Sesamia nonagrioides Lef) in maize.

Introduction

In addition, farmers exchange maize germplasm in agroecologies, so the need to investigate the reaction of these tropical maize inbred lines to resistance to these borers becomes paramount. The objective of this study was to evaluate inbred lines of tropical maize for resistance to two B.

Materials and Methods

  • Germplasm
  • Experimental sites
  • Experimental design and treatments
    • Artificial infestation with insects
  • Data collection and analysis

The ranking index is the average performance of each of the desired traits of each genotype, using the ranking of leaf feeding damage score, number of dead hearts, number of exit holes and cumulative trunk tunnel length. Where rP is the phenotypic correlation between traits X and Y, σP (X, Y) is the phenotypic covariance between trait of property Y.

Figure 2.1. Map of Kenya showing the locations Embu, Kakamega and Kiboko  Source: KARI Land Resources and Analytical Services, 2013
Figure 2.1. Map of Kenya showing the locations Embu, Kakamega and Kiboko Source: KARI Land Resources and Analytical Services, 2013

Results

  • Mean performance of maize inbred lines
    • Stem borers resistance traits in different environments
  • Correlations for stem borer resistance and agronomic traits
  • Correlations between B. fusca and C. partellus borer resistance traits
  • Heritability and genotypic and phenotypic correlations

Total number of plants showing number of exit holes per plant per trial due to B. There was no significant correlation between leaf feeding damage and the number of exit holes for B.

Table  2.2.  Mean  performance  of  top  19  maize  inbred  lines  for  selected  stem  borer  resistance  traits  under B
Table 2.2. Mean performance of top 19 maize inbred lines for selected stem borer resistance traits under B

Discussion

The knowledge about genetic correlations between borer resistance traits is important to create selection criteria (Sujiprihati et al., 2003). Similar results have been reported indicating that selection based on these traits can lead to improvement in stem borer resistance (Munyiri et al., 2013).

Conclusion

Evaluation of maize (Zea mays L.) genotypes as components of integrated stem borer (Chilo partellus Swinhoe) management in the coastal region of Kenya. Proceedings of International Symposia on Methodologies for Developing Host Plant Resistance to Maize Insects.

Table 2.11. List of pedigree ¥  information of maize inbred lines used in the study  Entry  Pedigree
Table 2.11. List of pedigree ¥ information of maize inbred lines used in the study Entry Pedigree

Introduction

The x-line tester mating design has been applied to determine the pattern of gene action for stem borer resistance potential in maize (Sharma et al., 2007). The x-line tester continues to be applied in the determination of heterotic orientations in maize using different testers (Sanghera et al., 2012).

Materials and Methods

  • Germplasm
  • Experimental sites
  • Experimental design and infestation
    • Artificial infestation with insects
  • Data collection and analysis

The number of dead hearts was determined as a percentage of the plants in the diagram, indicating death of the growing points. The clustering of lines into heterotic groups A (CML312/CML442) and B (CML395/CML444) depended on the direction of the specific combination ability, so that lines showing positive SCA with tester A were assigned to the opposite heterotic group B, and vice versa versa, while lines showing positive SCA for both were designated as AB group.

Figure 3.1. Map of Kenya showing Embu, Kakamega and Kiboko locations of the studies
Figure 3.1. Map of Kenya showing Embu, Kakamega and Kiboko locations of the studies

Results

  • Genotype x environment interactions
  • Trait variations under Busseola fusca infestation
  • General combining ability effects
  • Specific combining ability effects
  • Heterotic orientations based on specific combining ability
  • Heterosis of testcrosses relative to testers
  • Relative standard heterosis

In Kakamega, positive (p≤0.05) GCA effects were detected for wheat yield for all 20 major lines except for line 5. Specific effects of combining ability of test crosses for selected traits of resistance to stem borer and yield of wheat under B.

Table  3.1.  Mean  squares  of  testcrosses  for  selected  stem  borer  resistance  and  agronomic  traits  for  hybrids  under  B
Table 3.1. Mean squares of testcrosses for selected stem borer resistance and agronomic traits for hybrids under B

Discussion

  • Variations among lines and testcross hybrids
  • General and specific combining ability
  • Heterotic orientations of lines under B. fusca infestation
  • Heterosis relative to testers

Both additive and non-additive gene effects have been reported in the literature for stem borer resistance, and grain yield and yield components for various crops (Udaykumar et al., 2013). At Embu, 12 and 8 lines revealed positive SCA estimates for grain yield with CML395/CML444 and CML312/CML442, respectively.

Conclusions

Studies of combining ability for yield and related traits in newly obtained inbred lines of maize (Zea mays L.). Association between parental genetic distance with heterosis and specific combining ability in quality protein maize.

Table 3.14. List of germplasm used in the study
Table 3.14. List of germplasm used in the study

Introduction

This mating scheme was applied to determine the possible gene action configuration for stem borer resistance in maize (Sharma et al., 2007). Populations and inbred lines or single cross hybrids were used as testers in the identification of hybrids for yield performance (Sanghera et al., 2012).

Materials and Methods

  • Germplasm
  • Experimental sites
  • Experimental design and Treatments
  • Artificial infestation with insects
  • Data collection and analysis

The design was therefore used in the study to evaluate test cross hybrids in the target locations. Single crossover testers were used in the current study because the end product would be a three-way crossover.

Results

  • Genotype x environment interactions
  • Trait variations under Chilo partellus infestation
  • General combining ability effects
  • Specific combining ability effects
  • Heterotic orientations of lines based on specific combining ability
  • Heterosis of maize inbred lines relative to testers

At Kiboko, significant and desirable SCA effects (P≤0.05) on grain yield were detected for all test crosses with CML312/CML442. In Embu, 8 lines showed significant (p≤0.05) positive SCA effects for grain yield with CML395/CML444 and therefore targeted heterotic group A.

Table 4.2. General combining ability estimates of top 20 maize inbred lines for selected stem borer resistance traits and grain yield under C
Table 4.2. General combining ability estimates of top 20 maize inbred lines for selected stem borer resistance traits and grain yield under C

Discussion

  • Genetic variation
  • General and specific combining ability
  • Heterotic orientations of maize inbred lines under C. partellus infestation 117

In the current study, the significant difference between mean squares between lines, testers, lines x testers for stem borer resistance traits and grain yield showed their suitability for combining ability studies. Both additive and non-additive gene effects have been reported in the literature for grain yield and yield components for different crops (Sanghera et al., 2012; Schnable et al., 2013).

Introduction

Leaf screening bioassays have been used as a rapid method for screening materials in a wide range of horticultural and agronomic crops against pests and diseases, including Bt cassava, beans, maize (Mugo et al., 2001; Murenga et al. ., 2011; González et al., 2013). To reliably predict resistance to stem borers, isolated leaf bioassay conditions must be favorable for optimal plant growth and healthy neonates (Tefera et al., 2010).

Materials and Methods

  • Germplasm
  • Experimental design and Treatments
  • Data collection
    • Greenhouse evaluations
    • Laboratory evaluations
  • Data analysis

The use of isolated leaf bioassays for the artificial screening of maize genotypes for stem borer resistance may be a practical alternative approach. Appropriate fertilizers, weeding and irrigation were applied as recommended for the greenhouse (Murenga et al., 2004).

Results

  • Trait variations in the greenhouse
  • Trait variations in the laboratory
  • Rank selection indices in the greenhouse and laboratory
  • Correlations among traits in the greenhouse and laboratory
  • Evaluation of the maize inbred lines in the greenhouse
  • Evaluation of the maize inbred lines in the laboratory
  • Partitioning of damage effects under B. fusca and C. partellus infestation

Similar significant (r=0.458, p≤ 0.01) correlations were detected between leaf feeding damage in the greenhouse and the leaf area damaged in the laboratory (Table 5.3). Correlation coefficients based stem borer damage parameters in the greenhouse and laboratory trials at KARI.

Table 5.1 Mean squares of selected stem borer damage traits in the greenhouse trials at KARI
Table 5.1 Mean squares of selected stem borer damage traits in the greenhouse trials at KARI

Discussion

Conclusion

Expected responses to selection for resistance to pink stem borer (Sesamia calamistis Hampson) and sugarcane borer (Eldana saccharina Walker) in two maize populations. Mechanisms and genetic diversity for host plant resistance to spotted stem borer, Chilo partellus in sorghum, Sorghum bicolor.

Table 5.5. Ranks based on the rank selection index of maize inbred lines at greenhouse and the laboratory under B
Table 5.5. Ranks based on the rank selection index of maize inbred lines at greenhouse and the laboratory under B

Introduction

The S1 progeny recurrent selection scheme is characterized by additive genetic effects that are more important than non-additive genetic effects in stem borer resistance in maize populations (Sandoya et al., 2008; Schnable et al., 2013). Various successful cases of its use in various crops against pests and diseases have been reported (Ordas et al., 2009).

Materials and methods

  • Germplasm
  • Experimental sites
  • Formation of S1 progenies
  • Multi-site evaluation of the cycle 0 and the advanced cycles
  • Artificial infestation with insects
  • Data collection
  • Data analysis

Susceptible offspring were used as controls. The recombination involved planting the S1 seed from ear to row and hand pollination using bulk pollen was performed with one half pollinating the other to ensure random mating. Recombination involved planting the S1 seed from ear to row and hand pollination using bulk pollen was performed with one half pollinating the other to ensure random mating.

Results

  • Trait variations in cycles under C. partellus infestation
  • Trait variations in cycles under B. fusca infestation
  • Mean performance of cycles of two maize populations
  • Genetic gains from selection in cycles
  • Broad sense heritability estimates
  • Correlations of selected traits and grain yield

In the CML444/MBR/MDR C3Bc population, net genetic gain in grain yield was 25%, cumulative stem tunneling -57%, number of exit holes -69% and leaf feeding injury score 10%. In the CML444/MBR/MDR C3Bc population, net genetic gain in grain yield was 36%, cumulative stem tunneling -24%, number of exit holes -15% and leaf feeding injury score -29%.

Table 6.2. Mean squares of combined analysis for selected traits in cycles of CML395/MBR C5 Bc under C
Table 6.2. Mean squares of combined analysis for selected traits in cycles of CML395/MBR C5 Bc under C

Discussion

Similar results regarding estimates of gains under yield selection have been reported in the literature (Ana Paula et al., 2013; Liberatore et al., 2013). Similar results have been reported under maize population cycles (Sandoya et al., 2008; Ana Paula et al., 2013).

Conclusion

Maize genotypes identified with resistance to spotted stem borer, Chilo partellus and favorable agronomic traits. Mapping QTL for resistance to the Mediterranean maize borer attack using the interbred B73 x Mo17 (IBM) population of maize.

Introduction

Summary of key research findings and implications for breeding

  • Genetic variation for stem borer resistance
  • Combining ability and heterotic orientation under Busseola fusca infestation
  • Response of maize populations to S1 progeny recurrent selection

In addition, they combined high level of resistance to Busseola fusca with high wheat yield potential. The leaf disc bioassay method was evaluated for its efficiency for screening maize genotypes for resistance to the stem borers Busseola fusca and Chilo partellus in tropical inbred maize lines in the greenhouse and laboratory.

General observations on stem borer resistance

The findings of the completed study indicate that high variation of germplasm exists for resistance to Busseola fusca and Chilo partellus stem borers. The study identified hybrids with a high yield advantage over commercial hybrids indicating significant progress in breeding for resistance to Busseola fusca and Chilo partellus.

Figure  7.2.  Busseola  fusca  and  Chilo  partellus  larvae  recovered  from  susceptible  plants  in  the  greenhouse
Figure 7.2. Busseola fusca and Chilo partellus larvae recovered from susceptible plants in the greenhouse

Gambar

Figure 2.1. Map of Kenya showing the locations Embu, Kakamega and Kiboko  Source: KARI Land Resources and Analytical Services, 2013
Figure 2.2. Schematic presentation of rows and treatments at Embu and Kakamega
Figure 2.3. Differences in the leaf feeding damage patterns for B. fusca (left) and C
Figure  2.6.  Overall  numbers  of  plants  showing  cumulative  stem  tunneling  due  to  B
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