Complementation of sweet corn mutants: a method for grouping sweet corn genotypes

Similar documents
Heterosis and Combining ability Studies for Sugar content in Sweet corn (Zea mays saccharata L.)

Scope of Specialty corn for Income generation Introduction

Calvin Lietzow and James Nienhuis Department of Horticulture, University of Wisconsin, 1575 Linden Dr., Madison, WI 53706

Chapter V SUMMARY AND CONCLUSION

Effect on Quality of Cucumber (Pant Shankar Khira-1) Hybrid Seed Production under Protected Conditions

Preliminary observation on a spontaneous tricotyledonous mutant in sunflower

Sustainable Sweet Corn Production?

Effect of Sowing Time on Growth and Yield of Sweet Corn Cultivars

Further investigations into the rind lesion problems experienced with the Pinkerton cultivar

Where in the Genome is the Flax b1 Locus?

GENETICS AND EVOLUTION OF CORN. This activity previews basic concepts of inheritance and how species change over time.

1. Title: Identification of High Yielding, Root Rot Tolerant Sweet Corn Hybrids

BATURIN S.O., KUZNETSOVA

SELECTION-GENETIC STUDYING ECONOMICSIGNS OF THE COTTON AND THE METH- ODSOF INCREASE OF EFFICIENCY OF CHOICE

PERFORMANCE OF HYBRID AND SYNTHETIC VARIETIES OF SUNFLOWER GROWN UNDER DIFFERENT LEVELS OF INPUT

Emerging Local Food Systems in the Caribbean and Southern USA July 6, 2014

THE MANIFOLD EFFECTS OF GENES AFFECTING FRUIT SIZE AND VEGETATIVE GROWTH IN THE RASPBERRY

STEM ELONGATION AND RUNNERING IN THE MUTANT STRAWBERRY, FRAGARIA VESCA L.

2. Materials and methods. 1. Introduction. Abstract

Technology: What is in the Sorghum Pipeline

DEVELOPMENT AND STANDARDISATION OF FORMULATED BAKED PRODUCTS USING MILLETS

THE GROWTH OF THE CHERRY OF ROBUSTA COFFEE

WP Board 1054/08 Rev. 1

Studies on the performance of different genotypes of cauliflower grown in plains and higher altitude of Kerala

DIVERSIFICATION OF SUNFLOWER GERMPLASM FOR DIFFERENT ECONOMICALLY IMPORTANT CHARACTERISTICS

DEVELOPMENT AND SENSORY EVALUATION OF READY-TO- COOK IDLI MIX FROM BROWNTOP MILLET (Panicum ramosa)

Evaluate Characteristics of new cherry tomato varieties of Mahasarakham University

Processing Conditions on Performance of Manually Operated Tomato Slicer

Temperature effect on pollen germination/tube growth in apple pistils

June 29, Tomato Genetics and Breeding at Penn State. An Overview. Majid R. Foolad

LOWER HILLS OF HIMACHAL PRADESH

The aim of the thesis is to determine the economic efficiency of production factors utilization in S.C. AGROINDUSTRIALA BUCIUM S.A.

State of the art on Phaseolus vulgaris and Phaseolus coccineus SRB (Serbia) s National Collections

THE EFFECT OF GIRDLING ON FRUIT QUALITY, PHENOLOGY AND MINERAL ANALYSIS OF THE AVOCADO TREE

COMPARISON OF EMPLOYMENT PROBLEMS OF URBANIZATION IN DISTRICT HEADQUARTERS OF HYDERABAD KARNATAKA REGION A CROSS SECTIONAL STUDY

Heterosis of Single Cross Sweet Corn Hybrids Developed with Inbreds of Domestic Genepool

Confectionary sunflower A new breeding program. Sun Yue (Jenny)

Big Data and the Productivity Challenge for Wine Grapes. Nick Dokoozlian Agricultural Outlook Forum February

Evaluation of cashew (Anacardium occidentale L.) hybrids for vegetative parameters and nut yield

Origin and Evolution of Artichoke Thistle in California

ALBINISM AND ABNORMAL DEVELOPMENT OF AVOCADO SEEDLINGS 1

Using Growing Degree Hours Accumulated Thirty Days after Bloom to Help Growers Predict Difficult Fruit Sizing Years

GENOTYPIC AND ENVIRONMENTAL EFFECTS ON BREAD-MAKING QUALITY OF WINTER WHEAT IN ROMANIA

Aexperiencing rapid changes. Due to globalization and

Discrimination of Ruiru 11 Hybrid Sibs based on Raw Coffee Quality

Managing for Corn Silage Yield and Quality. Ev Thomas Miner Institute

Parthenocarpy. Production of fruit in absence of fertilization. Fruits are SEEDLESS. Seedlessness is advantageous for: consumers growers

Research on the potential alcohol of some local varieties and biotypes of wine grapes in Arad County

Corn Earworm Management in Sweet Corn. Rick Foster Department of Entomology Purdue University

HARVESTING MAXIMUM VALUE FROM SMALL GRAIN CEREAL FORAGES. George Fohner 1 ABSTRACT

Hawaii H38 and Hawaii H68: Hawaiian Sweet Corn Hybrids

Rapid Tests for Edible Soybean Quality

PREPARATION OF SAPOTA CANDY

Fairfield Public Schools Family Consumer Sciences Curriculum Food Service 30

Haskap: The shape of things to come? by Dr. Bob Bors

CONTEMPORARY RESEARCH IN INDIA (ISSN ): VOL. 7: ISSUE: 2 (2017)

ECONOMICS OF COCONUT PRODUCTS AN ANALYTICAL STUDY. Coconut is an important tree crop with diverse end-uses, grown in many states of India.

Lamb and Mutton Quality Audit

PROBATION AND FOUNDATION PLOT PRODUCTION OF CANOLA, MUSTARD, RADISH, RAPESEED, SAFFLOWER, AND SUNFLOWER

INDIAN COUNCIL OF AGRICULTURAL RESEARCH DIRECTORATE OF RAPESEED-MUSTARD RESEARCH, BHARATPUR, INDIA

Fedima Position Paper on Labelling of Allergens

Sorghum Yield Loss Due to Hail Damage, G A

Mendelian segregation in an interspecific hybrid population of tetraploid x diploid Coffea species-part 1

Catalogue of published works on. Maize Lethal Necrosis (MLN) Disease

A Computational analysis on Lectin and Histone H1 protein of different pulse species as well as comparative study with rice for balanced diet

Forage Planting Alternatives Mike Ballweg, Crops & Soils Agent, Sheboygan County

Analysis of Bunch Quality in Oil Palm Hybrid Cross Combinations under Krishna-Godavari Zone of Andhra Pradesh, India

Mapping and Detection of Downy Mildew and Botrytis bunch rot Resistance Loci in Norton-based Population

Buying Filberts On a Sample Basis

cocos, 2016: 22: Printed in Sri Lanka RESEARCH ARTICLE

RUST RESISTANCE IN WILD HELIANTHUS ANNUUS AND VARIATION BY GEOGRAPHIC ORIGIN

Flowering and Fruiting Morphology of Hardy Kiwifruit, Actinidia arguta

Pecan Pollination. Dr. Patrick Conner University of Georgia, Horticulture Department

Identification of haplotypes controlling seedless by genome resequencing of grape

Instruction (Manual) Document

DEVELOPMENT OF MILK AND CEREAL BASED EXTRUDED PRODUCTS

STEP1 Check the ingredients used for cooking, their weight, and cooking method. Table19 Ingredient name and weight of company A s Chop Suey

Running Head: GROWING BREAD MOULD 1. Growing Bread Mould-A Lab Report. Name. Class. Instructor. Date

Research - Strawberry Nutrition

MBA 503 Final Project Guidelines and Rubric

Morphological Characteristics of Greek Saffron Stigmas from Kozani Region

SELF-POLLINATED HASS SEEDLINGS

ICC July 2010 Original: French. Study. International Coffee Council 105 th Session September 2010 London, England

STUDY REGARDING THE RATIONALE OF COFFEE CONSUMPTION ACCORDING TO GENDER AND AGE GROUPS

Soybean Yield Loss Due to Hail Damage*

EFFECTS OF HIGH TEMPERATURE AND CONTROLLED FRUITING ON COTTON YIELD

CARIBBEAN FOOD CROPS SOCIETY

ANALYSIS OF THE EVOLUTION AND DISTRIBUTION OF MAIZE CULTIVATED AREA AND PRODUCTION IN ROMANIA

FOUNDATION, REGISTERED AND CERTIFIED PRODUCTION OF BARLEY, BUCKWHEAT, CANARYSEED, DURUM, FLAX, OAT, RYE, TRITICALE, AND WHEAT

Comparison of the Improved Coconut Hybrid CRIC65 with its Reciprocal Cross and the Parental Varieties for Reproductive Traits

Determination of Fruit Sampling Location for Quality Measurements in Melon (Cucumis melo L.)

Varietal Classification of New Coconut (Cocos nucifera L.) Forms Identified from Southern Sri Lanka

RESEARCH ABOUT EXPLORING OF NEW WHEAT AND RYE GERMPLASM FROM TRANSYLVANIA TO BREEDING FOR PRODUCTIVITY, IN BRAILA PLAIN CONDITIONS

Accomplishments of a. 10 Year Initiative. to Develop Host Plant Resistance to Root Knot and Reniform Nematodes in Cotton

Somatic Mutation of Tea Plants Induced by y-irradiation

Rail Haverhill Viability Study

Preparation of Lassi from safflower milk blended with buffalo milk

November 2016 PEST Report - THE NETHERLANDS CLOSING NOTE

Percentage Fruit Set In Avocados (Persea Americana Mill.)

FINAL REPORT TO AUSTRALIAN GRAPE AND WINE AUTHORITY. Project Number: AGT1524. Principal Investigator: Ana Hranilovic

Transcription:

c Indian Academy of Sciences RESEARCH NOTE Complementation of sweet corn mutants: a method for grouping sweet corn genotypes S. K. JHA 1,2,N.K.SINGH 1,3 and P. K. AGRAWAL 1,4 1 Vivekananda Parvatiya Krishi Anusandhand Sansthan (VPKAS), Almora 263601, India 2 Present address: Division of Genetics, Indian Agricultural Research Institute, New Delhi 110 012, India 3 Present address: Department of Genetics and Plant Breeding, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar 263 145, India 4 Present address: Indian Council of Agricultural Research Headquarters, New Delhi 110 012, India [Jha S. K., Singh N. K. and Agrawal P. K. 2016 Complementation of sweet corn mutants: a method for grouping sweet corn genotypes. J. Genet. 95, 183 187] Introduction Maize mutants that alter the composition of endosperm starch and are consumed as sweet corn or corn-derived vegetable crops have more kernel sweetness than the normal maize. Allelic complementation between mutant gene(s) leading to normal kernel in hybrid is concern for diverse endosperm mutant s deployment. Based on F 1 s kernel phenotype and segregation of F 2 s derived using normal corn genotype V373, 16 sweet corn genotypes and two testers were determined to possess a single recessive mutant gene. Consequently, allelic relationship was investigated using complementation of mutant gene in VSL1 and VL15 with 16 diverse genotypes. From first set of 16 test crosses with VSL1, VLS11 VLS1 and HKI 1831 VLS1 exhibited complementation in F 1 s and segregation in F 2 s while in second set with VL 15, complementation in F 1 s and segregation in F 2 s was observed in all test crosses except VLS11 VL15 and HKI 1831 VL15. Thus, kernel phenotype revealed that normal kernels appeared due to complementation of dissimilar mutants whereas noncomplementation of similar mutants leads to sweet corn kernels in hybrids. We further hypothesized that kernel phenotype-based genetic complementation is a simple tool and can be used efficiently in grouping of endosperm mutants. Sweet corn is considered as a corn-derived vegetable crop developed through recessive mutations having high sugar content at milky stage (Tracy 1997). The markets for sweet corn are now expanding and the demands are increasing due to urbanization and increase in purchasing power (Lertrat and Pulam 2007). Consequently, the cultivation of sweet corn is also expanding in many nontraditional For correspondence. E-mail: pawankagrawal@hotmail.com. countries across the continents including India. Lack of welladapted cultivars to the diverse cropping conditions of subtropical/tropical regions of India is amongst one of the factors that is responsible for limited production and productivity of sweet corn. Maize endosperm mutant genes that affect quality of sweet corn can be grouped in two classes. One group of mutants namely brittle1 (bt1), brittle2 (bt2) and shrunken2 (sh2) accumulate sugars at the expense of starch and have low total carbohydrate at the mature kernel stage (Boyer and Shannon 1984). At 18 21 days after pollination (harvest stage of sweet corn), these mutants have four to eight times higher total sugar than the normal corn (Holder et al. 1974). Due to comparative high sugar level, this group of mutants can be used even alone in development of sweet corn varieties/hybrids and are often called super sweet or extra sweet. Another group of mutants, namely amylose extender1 (ae1), dull1 (du1), sugary 1 (su1) and waxy1 (wx1), alter the types and amount of polysaccharides produced in endosperm. The mutant ae1, du1 and wx1 generally results in slightly less starch content in the mature kernel than normal types (Boyer and Shannon 1984). Compared to first group of mutants, these three mutants result in a smaller increase in total sugar content at 18 21 days after pollination and do not make acceptable sweet corn when used singly. However, double or triple combinations of second group of mutants result in sugar levels equal to those found in first group of mutants (Creech 1966). Many of the mutant genes identified early in the genetic analysis of corn were easily identifiable based on kernel phenotype, and the genetic segregation could be observed on a single F 2 cob. Essentially all these mutants were recessive and required the homozygous allelic state to express the altered endosperm composition. Further, many new mutants Keywords. sweet corn; kernel mutant; complementation; xenia effect; chi square. Journal of Genetics, Vol. 95, No. 1, March 2016 183

S. K. Jha et al. were identified with phenotypes similar to known mutants however, genetic analysis indicates that they are genotypically different. Therefore, a test of genetic complementation is essential to determine whether a new mutant is allelic to existing one or novel and nonallelic (Coe 1985). The test, therefore, helps in grouping endosperm mutants for development of single or multiple mutants-based sweet corn hybrids. Recently, SSR markers linked with su1 and sh2 genes have been identified using biparental mapping populations (Hossain et al. 2015). This may facilitate the grouping of sweet corn genotypes; however, markers derived from biparental population may have limited application in analysing mutants with multiple alleles and alleles from diverse genetic background. Thus, the concept of complementation, developed by Lewis in Drosophila and further used by Benzer in T4 phage to group mutants (Strickberger 1968), has vital application in grouping germplasm for developing sweet corn hybrids. The present investigation was, therefore, planned with the objective to validate the type of sweet corn mutant genes through complementation test based on kernel phenotype and to group the sweet corn genotypes for hybrid development programme. Materials and methods All the experiments were conducted at research farm, Vivekanand Parvatiya Krishi Anusandhan Sansthan, Hawalbagh, Almora (Uttarakhand) and Winter Nursery Centre, Directorate of Maize Research, Hyderabad. Two sweet corn genotypes, namely VL15, a sugary mutant (su1su1) and VSL1, a shrunken mutant (sh2sh2) were test crossed with a set of 16 sweet corn genotypes to generate 32 test crosses. Kernels of each F 1 test cross were phenotyped visually, and grouped into normal corn (NC) and modified endosperm type sweet corn (SC). The F 1 plants of each cross were selfed to generate F 2 kernels and were phenotyped visually into NC and SC categories. Assumption was made that mutant at same locus in both the parents will not complement to each other with realization of mutant phenotype (SC) in F 1 as well as in F 2. On the other hand, mutation at one locus in one parent and at another locus in second parent will complement each other with normal kernel in F 1 but segregation in F 2 in the ratio of nine normal (Su1_Sh2_) and seven sweet corn (Su1_sh2sh2, su1su1sh2_ and su1su1sh2sh2) kernel.before attempting test crosses, all the 16 sweet corn genotypes and the testers were validated for presence of a single endosperm mutant gene in recessive condition. To ensure this, all the 16 sweet corn genotypes were crossed with a normal corn genotype, V373. The F 1 sandf 2 s kernels were phenotyped and scored as NC or SC. Again the assumption was made that F 1 kernels of a cross between SC and NC will be normal while F 2 kernels will be expected to segregate in the ratio 3 NC : 1 SC, if the single recessive mutant gene is conferring modified endosperm. Further, both testers were also crossed with each other and also with normal corn genotype V373. The F 1 and F 2 kernels were phenotyped and scored as NC or SC to determine the number of mutant genes present in testers. Controlled pollination was adopted to generate F 1 and F 2 kernels. Dried cobs were harvested; kernels were shelled off and used for recording observation as number of NC or SC individually in each F 1 sandf 2 s. Chi square (χ 2 ) test was applied to accept goodness of fit of observed ratio with expected ratio in segregating generation (Snedecor and Cochran 1989). Results and discussion Application and utilization of heterotic patterns in maize had significant influence on yield improvement, efficient testing of hybrids, and increasing the probability of identifying desirable hybrids (Tracy 1990). Such heterotic grouping is not well established in sweet corn and is one of the main reasons behind its narrow genetic variability. In Table 1. Test cross to validate number and nature of mutant gene in sweet corn lines. Observed F 2 kernel phenotype Test cross (SCG NCG) F 1 kernel phenotype SC NC χ 2 value P value VSL2 V373 Normal 163 61 0.595 0.440 VSL3 V373 Normal 191 62 0.033 0.856 VSL4 V373 Normal 171 63 0.462 0.497 VSL5 V373 Normal 181 67 0.538 0.463 VSL6 V373 Normal 211 66 0.203 0.652 VSL7 V373 Normal 207 73 0.171 0.679 VSL8 V373 Normal 222 79 0.249 0.618 VSL9 V373 Normal 232 86 0.709 0.400 VSL10 V373 Normal 205 75 0.476 0.490 VSL11 V373 Normal 215 73 0.019 0.892 VSL12 V373 Normal 198 73 0.542 0.461 VSL14 V373 Normal 228 80 0.156 0.693 VSL15 V373 Normal 198 69 0.101 0.750 VSL16 V373 Normal 183 69 0.762 0.383 VSL17 V373 Normal 159 58 0.346 0.557 HKI 1831 V373 Normal 175 50 0.926 0.336 184 Journal of Genetics, Vol. 95, No. 1, March 2016

Complementation test in sweet corn genotypes addition to heterotic grouping, sweet corn, unlike normal corn, also requires to be grouped based on allelic relationship of mutant genes responsible for kernel modification and higher sweetness. So, sweet corn genotypes developed using established or novel mutant alleles need to be grouped based on allelic relationship for further utilization in hybrid/variety development. To validate the presence of single recessive mutant gene in 16 sweet corn genotypes, test crosses were made with normal corn genotype (V373) with corresponding sweetness alleles in dominant form (table 1). The phenotypic observation of F 1 kernels proved the identity of lines that they carry recessive mutant allele for sweetness. The F 1 plants of each cross were raised separately and selfed through controlled pollination to generate F 2 kernels and were phenotyped visually as normal and sweet corn types. The observed phenotypic classes of each F 2 kernels were validated using χ 2 test with the expected classical monogenic segregation ratio of 3 : 1 (table 1). The χ 2 analysis accepted that each F 2 had segregation ratio of three NC kernels to one SC kernel and therefore, goodness of fit was observed between observed and expected ratios. The acceptance of 3:1 ratio in F 2 kernels of a cross between sweet corn and normal maize genotype confirms that each sweet corn genotype had a single recessive mutant gene for kernel modification. Both the testers, namely, VL15 and VSL1 were crossed to each other and also crossed with normal corn genotype (V373) to determine allelic relationships among the mutant gene present in testers and also with allele present in normal maize genotype (table 2). Normal phenotype of F 1 kernels was noticed in both, tester by tester cross and testers by normal corn genotype cross (table 2). This indicates complementation of mutant phenotype of sweet corn by the corresponding dominant allele from the normal maize genotype / other sweet corn genotype. Monogenic segregation ratio of three normal and one sweet corn type kernels was observed in F 2 derived from the crosses between V373 and testers (table 2). In case of tester by tester cross, F 1 kernels were phenotypically normal indicating complementation of mutant gene present in one tester by corresponding dominant allele present in second tester (figure 1). This indicates that both the testers have different endosperm mutant genes. Selfing of tester by tester F 1 hybrids gave F 2 kernels with normal and sweet corn-type phenotypes. Validation of observed phenotypic ratio of F 2 population with χ 2 test indicates goodness of fit with expected classical digenic phenotypic ratio of 9 NC : 7 SC. Digenic segregation pattern in F 2 further supports the assumption that single mutant gene present in each tester are different from each other. Phenotype of the kernels derived from a biparental cross is influenced by the alleles present in both the parents (xenia effect). Considering the immediate allelic effect on kernels, each F 1 ear of 32 test cross hybrids developed by crossing 16 sweet corn genotypes with two testers was phenotypically observed and the kernels were classified into four classes: (i) F 1 s with sweet corn kernels when crossed with VSL1, Table 2. Test cross to validate number and nature of mutant gene in sweet corn testers. VL15 VSL1 F1 Expected segregation Observed segregation χ 2 P F1 Expected segregation Observed segregation χ 2 P Testers phenotype ratio in F2 in F2 value* value phenotype ratio in F2 in F2 value* value VL15 NC 9:7 146 : 123 (NC : SC) 0.426 0.514 VSL1 NC 9:7 169 : 136 (NC : SC) 0.087 0.767 V373 NC 3:1 161 : 51 (NC : SC) 0.101 0.751 NC 3:1 222 : 78 (NC : SC) 0.160 0.689 *χ 2 < 3.84 is nonsignificant at 0.05 probability level; NC, normal corn; SC, sweet corn. Journal of Genetics, Vol. 95, No. 1, March 2016 185

S. K. Jha et al. Figure 1. Mode of complementation between sweet corn mutants. (ii) F 1 s with sweet corn kernels when crossed with VL15, (iii) F 1 s with normal kernels when crossed with VSL1 and (iv) F 1 s with normal kernel when crossed with VL15. Of the 16 test crosses, where VSL1 was used as tester, F 1 kernels of two cross combinations, namely, VSL11 VSL1 and HKI1831 VSL1 produced NC kernel, whereas the remaining 14 test crosses had modified SC endosperm phenotype (table 2). On the other hand, out of 16 test crosses derived using VL 15, two crosses, namely, VSL11 VL15 and HKI1831 VL15 possessed modified sweet corn kernel phenotype. The remaining 14 cross combinations with VL15 produced normal kernels. The F 1 with normal kernels indicated the case of complementation since mutants for kernel modification are expected to be at different locus in parents and corresponding dominant alleles did not allow mutant alleles to express and modify endosperm when present in heterozygous condition (figure 1). Such combinations, therefore, cannot be used in sweet corn hybrid development programme. In other cases, where F 1 exhibited mutant phenotype indicates that both the parents have mutation in the same gene i.e. both the parents have same allele. Consequently, such mutant combinations are unable to complement each other and modified SC kernels are observed on hybridization. Further, each F 1 was advanced to F 2 through controlled pollination to further validate the allelic relationships among the parents. The F 1 s with sweet corn kernels produced similar kernels in F 2. However, F 2 kernels derived from the F 1 s with normal kernel had both normal as well as Table 3. Complementation test of sweet corn lines using sweet corn testers. Sweetcorn genotypes Tester Observed F 1 kernel type Observed segregation of F 2 kernels χ 2 value* P value VSL2 VSL1 Sweet corn All sweet corn 0.000 1.000 VSL3 VSL1 Sweet corn All sweet corn 0.000 1.000 VSL4 VSL1 Sweet corn All sweet corn 0.000 1.000 VSL5 VSL1 Sweet corn All sweet corn 0.000 1.000 VSL6 VSL1 Sweet corn All sweet corn 0.000 1.000 VSL7 VSL1 Sweet corn All sweet corn 0.000 1.000 VSL8 VSL1 Sweet corn All sweet corn 0.000 1.000 VSL9 VSL1 Sweet corn All sweet corn 0.000 1.000 VSL10 VSL1 Sweet corn All sweet corn 0.000 1.000 VSL11 VSL1 Normal corn 146 : 105 (NC : SC) 0.375 0.540 VSL12 VSL1 Sweet corn All sweet corn 0.000 1.000 VSL14 VSL1 Sweet corn All sweet corn 0.000 1.000 VSL15 VSL1 Sweet corn All sweet corn 0.000 1.000 VSL16 VSL1 Sweet corn All sweet corn 0.000 1.000 VSL17 VSL1 Sweet corn All sweet corn 0.000 1.000 HKI1831 VSL1 Normal corn 152 : 112 (NC : SC) 0.189 0.664 VSL2 VL15 Normal corn 185 : 114 (NC : SC) 0.394 0.530 VSL3 VL15 Normal corn 174 : 109 (NC : SC) 0.170 0.680 VSL4 VL15 Normal corn 195 : 140 (NC : SC) 0.522 0.470 VSL5 VL15 Normal corn 137 : 123 (NC : SC) 0.239 0.625 VSL6 VL15 Normal corn 160 : 140 (NC : SC) 0.364 0.546 VSL7 VL15 Normal corn 171 : 114 (NC : SC) 0.353 0.552 VSL8 VL15 Normal corn 220 : 140 (NC : SC) 0.395 0.530 VSL9 VL15 Normal corn 163 : 101 (NC : SC) 0.151 0.697 VSL10 VL15 Normal corn 214 : 155 (NC : SC) 0.456 0.499 VSL11 VL15 Sweet corn All sweet corn 0.000 1.000 VSL12 VL15 Normal corn 207 : 120 (NC : SC) 0.286 0.593 VSL14 VL15 Normal corn 132 : 119 (NC : SC) 0.003 0.957 VSL15 VL15 Normal corn 184 : 113 (NC : SC) 0.701 0.402 VSL16 VL15 Normal corn 172 : 113 (NC : SC) 0.506 0.477 VSL17 VL15 Normal corn 162 : 118 (NC : SC) 0.294 0.588 HKI1831 VL15 Sweet corn All sweet corn 0.000 1.000 *χ 2 < 3.84 is nonsignificant at 0.05 probability level; SC, sweet corn; NC, normal corn. 186 Journal of Genetics, Vol. 95, No. 1, March 2016

Complementation test in sweet corn genotypes Table 4. Complementation test to determine genetic constitution of sweet corn mutants. F 1 phenotype with F 1 phenotype with Expected genotype Unknown SC line su1 mutant tester sh2 mutant tester of unknown line 1 Normal corn Sweet corn Su1Su1sh2sh2 2 Sweet corn Normal corn su1su1sh2sh2 3 Normal corn Normal corn Su1Su1Sh2Sh2* 4 Sweet corn 1 : 1 (NC : SC) su1su1sh2sh2 5 1 : 1 (NC : SC) Sweet corn Su1su1sh2sh2 *Homozygous recessive mutant for 3rd sweetness gene, can serve as tester for 3rd gene. modified SC kernels. The number of normal and modified kernels were counted in each segregating F 2 s(table3)and were analysed using χ 2 test to determine goodness of fit with digenic segregation ratio of 9 : 7, since each parent had a mutant gene different from other parent. The χ 2 test revealed concurrence of observed normal and modified SC kernels ratio in F 2 population of VSL11 VSL1 (146 : 105) and HKI 1831 VSL1 (152 : 112) with expected ratio of 9 : 7 (table 3). Similarly, the F 2 ratio of normal and modified kernels in 14 cross combinations with VL15 had goodness of fit with the expected ratio of 9 : 7. The results indicated that nonsegregating sweet corn populations developed using either VSL1 or VL15 as tester had similar alleles in both the parents, therefore exhibited modified SC kernels in both F 1 and F 2. On the other hand, the crosses with segregation pattern of 9 : 7 NC and SC kernels in F 2 from normal F 1 kernels indicates that mutant alleles present in both the parents are nonallelic. Consequently, complementation occurred in F 1 and segregation pattern of normal and sweet corn were observed in the F 2 kernels. Determination of such allelic relationships is critical in sweet corn development programme. In India as well as abroad, maize breeders are developing sweet corn inbred genotypes continuously through conversion of normal maize genotypes into sweet corn or through hybridization followed by standard procedures of inbred genotype development. To determine the allelic relationship among newly developed genotypes, the complementation studies using simple criteria of appearance of the F 1 kernels seems to be rewarding and easy approach. Based on the phenotypic appearance of F 1 kernels with tester consisted of su1 or sh2 gene, the genotype at the locus responsible for kernel modification can be predicted (table 4). Thus, the method used successfully to validate the allelic relationships among the sweet corn mutants in the present investigation can be easily translated by any maize breeder working even at remote locations without any sophisticated molecular laboratory and technical expertise. Moreover, time required for determination of allelic relationships with the method elaborated above requires only one season without any field evaluation since kernel modification or xenia effect is visible in the same generation. Acknowledgements Authors are thankful to the ICAR - Vivekanand Parvatiya Krishi Anusandhan Sansthan, Almora, for funding and providing the necessary facilities. Authors are also thankful to Dr G. S. Bisht and Mr M. C. Pant, technical officers, maize breeding, for technical assistance during the experimentation. References Boyer C. D. and Shannon J. C. 1984 The use of endosperm genes for sweet corn improvement. Plant Breed. Rev. 1, 139 161. Coe Jr E. H. 1985 Phenotypes in corn: control of pathways by alleles, time and place. In Plant genetics (ed. M. Freeling), New Series, vol. 35, pp. 509 521. UCLA Symposia on Molecular and Cellular Biology, New York, USA. Creech R. G. 1966 Application of biochemical genetics in quality improvement and plant nutrition. I. Genetic mutations affecting carbohydrate properties of the maize endosperm. Qual. Plant Mat. Veget. 13, 86 97. Holder D. G., Glover D. V. and Shannon J. C 1974 Interaction of shrunken-2 with five other carbohydrate genes in Zea mays L. endosperm. Crop Sci. 14, 643 646. Hossain F., Nepolean T., Vishwakarma A. K., Pandey N., Prasanna B. M. and Gupta H. S. 2015 Mapping and validation of microsatellite markers linked to sugary1 and shrunken2 genes in maize (Zea mays L.) J. Plant Biochem. Biotech. (doi: 10.1007/s13562-013-0245-3). Lertrat K. and Pulam T. 2007 Breeding for increased sweetness in sweet corn. Intl. J. Plant. Breed. 1, 27 30. Snedecor G. W. and Cochran W. G. 1989 Statistical methods, p. 593. Iowa State University Press, Ames, USA. Strickberger M. W. 1968. Genetics, p. 868. Macmillan, New York, USA. Tracy W. F. 1990 Potential of field corn germplasm for the improvement of sweet corn. Crop Sci. 30, 1041 1045. Tracy W. F. 1997 History, breeding, and genetics of supersweet (shrunken 2) sweet corn. Plant Breed. Rev. 14, 189 236. Received 28 March 2015, in revised form 30 June 2015; accepted 15 July 2015 Unedited version published online: 20 July 2015 Final version published online: 9 February 2016 Journal of Genetics, Vol. 95, No. 1, March 2016 187