This patent application claims the benefit and priority of Chinese Patent Application No. 202110965711.2, filed on Aug. 23, 2021, the disclosure of which is incorporated by reference herein in its entirety as part of the present application.
The contents of the electronic sequence listing (SEQUENCE LISTING.txt;’ Size: 125 KB; and Date of Creation: Nov. 23, 2021) are herein incorporated by reference in its entirety.
The present disclosure relates to the technical field of plant molecular breeding, in particular to a genomics-assisted prediction method for apple fruit quality traits and disease resistance and use thereof.
Apple is one of the important economic crops over the world. The genetic improvement and diversification of apple cultivars is urgently needed to ensure the healthy development of the apple industry.
For a long time, in apple breeding, old cultivars are improved or new cultivars are bred mainly by cross breeding and bud mutation selection. However, it is difficult to improve the breeding efficiency of apple due to the long breeding cycle, highly-heterozygous genotypes, self-incompatibility, and lack of reliable early selection methods. With the development of modern breeding technology, molecular breeding technologies represented by marker assisted selection (MAS) and genomic selection (GS) have been established and gradually applied to breeding practices. These technologies provide a feasible technical solution for early selection of traits, shortening the generation interval, reducing the population size and improving breeding accuracy. However, by MAS beneficial genotypes or genotype combinations can be selected using a single or a few markers, which is suitable for qualitative traits controlled by a single gene locus or less major genes. There are not many qualitative traits in apple and other woody perennials, thus the use of the MAS is far limited. By GS, genotyping is performed using high-density chips containing genome wide SNPs or using next-generation sequencing (NGS), and selection is made with genomic estimated breeding value (GEBV). The GS is suitable for multi-gene quantitative traits. However, the high-density chips and NGS have relatively high costs, and the apple breeding population is often large, such that the GS has been limited either; in addition, the apple has high proportion of non-additive inheritance of important economic traits, and the GS has relatively low prediction accuracy for the non-additive inheritance.
The purpose of the present disclosure is to provide a genomics-assisted prediction method for apple fruit quality traits and disease resistance and use thereof.
To realize the above objective, the present disclosure provides the following technical solutions.
The present disclosure provides a set of trait-associated molecular markers in Malus genus, including one or more of molecular markers in Table 1.
Malus trait-associated molecular markers
The present disclosure further provides a genotype effect value or a genotype combination effect value of each genotype of the molecular markers on a corresponding trait as shown in Table 2.
The present disclosure further provides a primer combination for marker PCR amplification when marker genotyping, including a primer combination shown in SEQ ID NO. 1 to SEQ ID NO. 638.
The present disclosure provides a marker genotyping protocol, including the following steps:
1) extracting a genomic DNA of a Malus sample to be tested;
2) conducting multiplex polymerase chain reaction (PCR) amplification on the genomic DNA sample using the primer combination to obtain an amplified product; and
3) genotyping of the amplified product by next-generation sequencing, to obtain a genotype of a Malus sample to be tested.
Preferably, a reaction system of the multiplex PCR amplification in step 2), calculated in 30 μL, may include the following components: 8 μL of the primer combination, 8 μL of MP004_Cu Panel Mix, 50-200 ng of DNA, 10 μL of 3×T enzyme and H2O as a balance; each primer in the primer combination may have a concentration of 0.24 μM; and a reaction program of the multiplex PCR amplification may include: 95° C. for 3 min; 95° C. for 30 s, and 60° C. for 4 min, conducting 16 cycles; and extension at 72° C. for 4 min.
Preferably, the next-generation sequencing in step 3) may have a depth of 1200×.
The present disclosure provides a method for determining a trait phenotype or calculating a genomics-predicted phenotype value of a trait of the Malus sample, including the following steps:
obtaining a population average phenotype of a trait corresponding to the molecular marker as follows: fruit ripening date 159.45 DAFB, fruit cover color degree 56.35%, fruit weight 106.63 g, soluble solid content 14.85%, fruit juice pH value 3.34, fruit malate content 5.83 mg/mL, flesh firmness at harvest 12.18 kg/cm2, flesh crispness at harvest 1.31 kg/cm2, flesh firmness retainability 2.41 months, flesh crispness retainability 2.19 months, Fruit ring rot disease resistance 21.34 mm, and spur tree architecture 0.99;
obtaining a genomics predicted phenotype value of a Malus sample to be tested by the method; according to the genotype of the Malus sample to be tested, and according to the population average and the genotype effect value or the genotype combination effect value, determining a genomics predicted phenotype value for a trait of the Malus sample to be tested using the following criteria or calculating a predicted phenotype value using the following prediction model; where
the standard comprises:
(1) resistance to Glomerella leaf blotch:
when a genotype of S1202 is CC and a genotype of zhwy64 is CC, it is determined as disease-resistant; other genotypes are determined as susceptible;
(2) fruit shape:
when a genotype of newdy202 is CC, a genotype of SIZE2270 is GG, a genotype of SIZE5253 is CC, a genotype of SIZE9100 is GG or a genotype of SIZE9195 is AA, the fruit shape is determined to be conical-round;
when a genotype of SP031 is CC, a genotype of SP081 is not CT or a genotype of XDY231 is GG, the fruit shape is determined to be oblate-round;
the prediction model comprises:
(3) a chlorogenate content or a procyanidin B2 content adopts a genotype combination model;
an effect value is estimated according to a genotype combination of molecular markers for chlorogenate content or procyanidin B2 content, and a prediction model is established using a genotype combination effect value, with a formula as follows:
GPV=α×(GcE+μ)+β; where
GPV is a genomics predicted phenotype value; GcE is a genotype combination effect value of markers of the trait; μ is a mean of a phenotype of the trait in a training population; and α and β are a linear regression coefficient and a residual parameter, respectively;
(4) Fruit ripening date, soluble solid content, fruit juice pH, flesh firmness at harvest, flesh crispness at harvest, flesh firmness retainability, flesh crispness retainability, or fruit ring rot disease resistance adopts an additive model, with a formula as follows:
where GPV is the genomics predicted phenotype value; GE is a genotype effect value of the marker; k is a number of markers for the trait; μ is the mean of a phenotype of the trait in the training population; and α and β are the linear regression coefficient and the residual parameter, respectively;
fruit weight, malate content, fruit cover color degree and spur tree architecture adopt a fixed-effect model, with a prediction formula as follows:
where GPV is the genomics predicted phenotype value; Fx is a fixed genotype effect value of a fixed-effect marker; GnE is a genotype effect value of a non-fixed-effect marker of the trait; k is a number of markers for a non-fixed-effect of the trait; μ is the mean of a phenotype of the trait in a training population; γ is a shrinkage factor; and α and β are the linear regression coefficient and the residual parameter, respectively;
a fixed-effect of the fruit weight is as follows: a genotype of XDY160 is AA, or a genotype of SIZE4849 is GG or a genotype of SIZE4161 is GG, Fx is −104.8, −100.7 and −101.4, respectively;
a fixed-effect of fruit malate content is a genotype combination effect value of Ma, MA202 and SAUR-5;
a fixed-effect of fruit cover color degree is a genotype combination effect value of ZZZ162 with zwy6, and ZZZ162 with color1245;
a fixed-effect of spur tree architecture is a genotype combination effect value of neww45 with S1245, and neww45 with ww19.
The present disclosure further provides following one or more uses of the Malus trait-associated molecular marker, or the genotype effect value or the genotype combination effect value, or the primer combination:
1) Trait phenotype prediction of Malus; 2) construction of fingerprint or molecular ID card of Malus; 3) genotype identification of Malus germplasm accessions; 4) hybrid breeding of Malus; and 5) molecular distinctness, uniformity and stability (DUS) test of new cultivars of Malus; where
the hybrid breeding of Malus comprises one or more of selection of hybrid parental materials and cross combinations, design of hybrid generations, and molecular-assisted selection of hybrids.
The present disclosure provides a Malus trait-associated molecular marker. There are a total of 319 molecular markers, including 318 single-nucleotide polymorphism (SNP) markers and 1 InDel marker; and the molecular markers are related to 16 traits including fruit ripening date, fruit shape, fruit cover color degree, fruit weight, soluble solid content, fruit juice pH value, malate content, chlorogenate content, procyanidin B2 content, flesh firmness at harvest, flesh crispness at harvest, flesh firmness retainability, flesh crispness retainability, fruit ring rot disease resistance, Glomerella leaf blotch resistance, and spur tree architecture. The molecular markers of the present disclosure can be used for apple germplasm resource evaluation and breeding, can greatly improve apple breeding efficiency and shorten breeding cycle.
The present disclosure provides a Malus trait-associated molecular marker, including one or more of molecular markers in the Table 1.
In the present disclosure, the molecular marker includes 318 SNP markers and 1 InDel marker.
In the present disclosure, the SNP molecular marker has a version number based on a apple genome sequence information of GDDH13 v1.1.
The present disclosure further provides a genotype effect value or a genotype combination effect value of each genotype of the molecular marker on a corresponding trait as shown in the Table 2.
The present disclosure further provides a primer combination for detecting the molecular marker, including a primer combination shown in SEQ ID NO. 1 to SEQ ID NO. 638. In the present disclosure, marker names, upstream primers and downstream primers corresponding to the primer combination are shown in Table 3.
The present disclosure further provides a marker genotyping protocol, including the following steps:
1) extracting a genomic DNA of a Malus sample to be tested;
2) conducting multiplex PCR amplification on the genomic DNA sample using the primer combination to obtain an amplified product; and
3) genotyping of the amplified product by next-generation sequencing, to obtain a genotype of a Malus sample to be tested.
In the present disclosure, the genomic DNA of the Malus to be tested is extracted.
In the present disclosure, there is no special restriction on a method for extracting the genomic DNA of the Malus to be tested, and conventional methods in the field can be used.
In the present disclosure, multiplex PCR amplification is conducted on the genomic DNA of the Malus to be tested using the primer combination to obtain the amplified product.
In the present disclosure, a reaction system of the multiplex PCR amplification, calculated in 30 μL, preferably includes the following components: 8 μL of the primer combination, 8 μL of MP004_Cu Panel Mix, 50-200 ng of DNA, 10 μL of 3×T enzyme and H2O as a balance; each primer in the primer combination has a concentration of preferably 0.24 μM; and a reaction program of the multiplex PCR amplification preferably includes: 95° C. for 3 min; 95° C. for 30 s, and 60° C. for 4 min, conducting 16 cycles; and extension at 72° C. for 4 min.
In the present disclosure, a genotype of the amplified product is measured by next-generation sequencing, to obtain a genotype of a sample of the Malus to be tested; the next-generation sequencing preferably has a depth of 1200×.
The present disclosure further provides a method for determining a trait phenotype or calculating a genomics-predicted phenotype value of a trait of the Malus sample, including the following steps:
obtaining a population average phenotype of a trait corresponding to the molecular marker as follows: fruit ripening date 159.45 DAFB, fruit cover color degree 56.35%, fruit weight 106.63 g, soluble solid content 14.85%, fruit juice pH value 3.34, fruit malate content 5.83 mg/mL, flesh firmness at harvest 12.18 kg/cm2, flesh crispness at harvest 1.31 kg/cm2, flesh firmness retainability 2.41 months, flesh crispness retainability 2.19 months, Fruit ring rot disease-resistance 21.34 mm, and spur tree architecture 0.99;
obtaining a genomics predicted phenotype value of a Malus sample to be tested by the method; according to the genotype of the Malus sample to be tested, and according to the population average and the genotype effect value or the genotype combination effect value, determining a genomics predicted phenotype value for a trait of the Malus sample to be tested using the following criteria or calculating a predicted phenotype value using the following prediction model:
(1) resistance to Glomerella leaf blotch:
when a genotype of S1202 is CC and a genotype of zhwy64 is CC, it is determined as disease-resistant; other genotypes are determined as susceptible;
(2) fruit shape:
when a genotype of newdy202 is CC, a genotype of SIZE2270 is GG, a genotype of SIZE5253 is CC, a genotype of SIZE9100 is GG or a genotype of SIZE9195 is AA, the fruit shape is determined to be conical-round;
when a genotype of SP031 is CC, a genotype of SP081 is not CT or a genotype of XDY231 is GG, the fruit shape is determined to be oblate-round;
(3) a chlorogenate content or a procyanidin B2 content adopts a genotype combination model;
an effect value is estimated according to a genotype combination of molecular markers for chlorogenate content or procyanidin B2 content, and a prediction model is established using a genotype combination effect value, with a formula as follows:
GPV=α×(GcE+μ)+β; where
GPV is a genomics predicted phenotype value; GcE is a genotype combination effect value of markers of the trait; μ is a mean of a phenotype of the trait in a training population; and α and β are a linear regression coefficient and a residual parameter, respectively;
(4) Fruit ripening date, soluble solid content, fruit juice pH, flesh firmness at harvest, flesh crispness at harvest, flesh firmness retainability, flesh crispness retainability, or fruit ring rot disease resistance adopts an additive model, with a formula as follows:
where GPV is the genomics predicted phenotype value; GE is a genotype effect value of the marker; k is a number of markers for the trait; μ is the mean of a phenotype of the trait in the training population; and α and β are the linear regression coefficient and the residual parameter, respectively;
Fruit weight, malate content, fruit cover color degree and spur tree architecture adopt a fixed-effect model, with a prediction formula as follows:
where GPV is the genomics predicted phenotype value; Fx is a fixed genotype effect value of a fixed-effect marker; GnE is a genotype effect value of a non-fixed-effect marker of the trait; k is a number of markers for a non-fixed-effect of the trait; μ is the mean of a phenotype of the trait in a training population; γ is a shrinkage factor; and α and β are the linear regression coefficient and the residual parameter, respectively;
a fixed-effect of the fruit weight is as follows: a genotype of XDY160 is AA, or a genotype of SIZE4849 is GG or a genotype of SIZE4161 is GG, Fx is −104.8, −100.7 and −101.4, respectively;
a fixed-effect of fruit malate content is a genotype combination effect value of Ma, MA202 and SAUR-5;
a fixed-effect of fruit cover color degree is a genotype combination effect value of ZZZ162 with zwy6, and ZZZ162 with color1245;
a fixed-effect of spur tree architecture is a genotype combination effect value of neww45 with S1245, and neww45 with ww19.
The present disclosure further provides following one or more uses of the Malus trait-related molecular marker, or the genotype effect value or the genotype combination effect value, or the primer combination:
1) Trait phenotype prediction of Malus; 2) construction of fingerprint or molecular ID card of Malus; 3) genotype identification of Malus germplasm accessions; 4) hybrid breeding of Malus; and 5) molecular distinctness, uniformity and stability (DUS) test of new cultivars of Malus; wherein
the hybrid breeding of Malus comprises one or more of selection of hybrid parental materials and cross combinations, design of hybrid generation, and molecular-assisted selection of hybrid.
The technical solutions in the present disclosure will be clearly and completely described below in conjunction with the Examples of the present disclosure. Apparently, the described examples are merely some rather than all of the examples of the present disclosure. All other examples obtained by a person of ordinary skill in the art based on the examples of the present disclosure without creative efforts shall fall within the protection scope of the present disclosure.
1. Mining of Quantitative Trait Loci (QTL) in Whole Genome
To make the obtained QTL more versatile, segregating populations of four hybrid progenies ‘Jonathan’בGolden Delicious’, ‘Zisai Mingzhu’בRed Fuji’, ‘Zisai Mingzhu’בGolden Delicious’ and ‘Starkrimson’בSpur Fuji Miyazaki’ were selected as test materials, with a number of hybrid progeny individual plants of 1568, 1679, 2211 and 2019, respectively. ‘Jonathan’ and ‘Golden Delicious’ are one of the 7 founder cultivars of modern apple (Malus domestica Borkh.), ‘Starkrimson’ is a bud sport cultivar of another ancestor cultivar ‘Delicious’, and ‘Red Fuji’ is a direct descendant of other two ancestor cultivars ‘Ralls Janet’ and ‘Delicious’. ‘Zisai Mingzhu’ belongs to M. asiatica Nakai, and is a representative of ancient Chinese apple cultivars. From 2014 to 2020, phenotypic determination of the individual plants of the hybrid progenies above was conducted annually. Determined traits included fruit ripening date, fruit shape, fruit weight, fruit cover color degree, fruit chlorogenate content, fruit procyanidin B2 content, fruit soluble solid content, fruit juice pH value, fruit malate content, flesh firmness at harvest, flesh crispness at harvest, flesh firmness retainability, flesh crispness retainability, Glomerella leaf blotch resistance, fruit ring rot disease resistance, and spur tree architecture.
QTL mapping was conducted using phenotypic data of a single plant of the above hybrid populations for at least 3 years through MapQT and BSA-seq methods. A total of 459 QTL loci for the above fruit quality and disease resistance traits were obtained (Table 4).
2. Development of SNP Markers Based on QTL
There were many overlapped intervals in the 459 QTLs, the overlapped intervals were removed, and candidate genes were predicted near a peak of the QTL. SNP or InDel markers were developed using candidate gene coding regions, upstream regulatory sequences, or mutation loci in intergenic regions. A total of 318 SNP markers and 1 InDel marker were screened (Table 1). PCR primers were designed for the 319 markers, respectively; the amplification effect of PCR primers and the actual separation of each marker in the hybrid progenies were verified using 4 parental materials of “Jonathan”, “Golden Delicious”, “Red Fuji” and “Zisai Mingzhu” and 6-8 hybrid progenies in each of the 3 cross combinations. Determining from the actual segregation, the genotypes of the hybrid progeny of each cross combination show Mendelian segregation ratio. It is proved that the PCR primer design is successful. Sequences of the 319 labeled PCR primers are shown in Table 3.
3. Design of Multiple PCR Amplification System and Development of AppleGAP v2.0 Liquid Chip
Genomic DNA of a small tested sample was extracted, and genome was accurately quantified using Qubit®dsDNAHSAssayKit or fluorescence quantitative PCR. A 30 μL reaction system was configured using a 0.2 ml PCR tube/96-well PCR plate with the following components: 8 μL of primer combination, 8 μL of MP004_Cu Panel Mix, 50-200 ng of DNA, 10 μL of 3×T enzyme and the H2O as the balance; each primer in the primer combination had a concentration of 0.24 μM. The PCR amplification was conducted according to the following procedures: thermal starting at 95° C. for 3 min; 95° C. for 30 s, and 60° C. for 4 min, conducting 16 cycles; and extension at 72° C. for 4 min; heat preservation at 10° C.
PCR-amplified products were purified using an AMPureXPBeads purification kit. An Illumina sequencing library was constructed using recovered PCR amplified products. A 30 μL reaction system was configured in the above PCR product purification tube with magnetic beads using the following components: 10 μL of 3×M enzyme; 1 μL of PCR primer F; 1 μL of Barcode XXR (10 μM); and 18 μL of H2O. PCR amplification was conducted according to the following procedures: thermal starting at 95° C. for 3 min; 95° C. for 15 s, 58° C. 15 s and 72° C. 30 s, conducting 6-8 cycles; and extension at 72° C. for 4 min; heat preservation at 10° C. PCR amplified products were purified using the AMPureXPBeads purification kit.
DNA concentration of the above purified PCR products was determined, the PCR products linked to different Barcodes were mixed in equal amounts to form the AppleGAP v2.0 liquid chip, and the liquid chip was directly sequenced on the computer. Sequencing was conducted using an Illumina X10 sequencing platform and a PE150 strategy, a sequencing depth was 1000× to 1200×. Small sample test results are consistent with KASP typing of previous tests, indicating that the AppleGAP v2.0 is successfully developed.
4. Construction and Genotyping of Training Populations
A total of 1936 individual plants were selected, including random 350 hybrid progenies with more than 3 years of trait phenotypic data from 4 cross combinations (‘Jonathan’בGolden Delicious’, ‘Zisai Mingzhu’בRed Fuji’, ‘Zisai Mingzhu’בGolden Delicious’ and ‘Starkrimson’בSpur Fuji Miyazaki’), respectively, and 536 copies of Malus germplasm resources with at least 3 years of phenotypic data, to form a training population. The specific 16 phenotypic traits included fruit ripening date, fruit weight, fruit shape, fruit cover color degree, fruit soluble solid content, fruit juice pH value, fruit malate content, fruit chlorogenate content, fruit procyanidin B2 content, flesh firmness at harvest, flesh crispness at harvest, flesh firmness retainability, flesh crispness retainability, fruit ring rot disease resistance, Glomerella leaf blotch resistance, and spur tree architecture. Leaf samples of the 1936 individual plants were collected, genomic DNA was extracted, and genotyping was conducted with AppleGAP v2.0 to obtain genotype data of 319 markers of 1936 individual plants.
5. Estimation of Marker Genotype Effect Value
The marker genotype effect value was estimated using the genotype data of 319 markers and the phenotype data of 16 traits of 1936 individual plants in the above training population, with a formula as follows:
GE (marker genotype effect) was an effect value of a certain genotype of a certain marker;
P (individual phenotype value) was a phenotype value of a certain individual of the genotype of the marker;
m is a number of individuals with the genotype in the training population; and
μ is an average phenotype value of the trait in the training population.
The genotype effect values of the above 319 markers of the above 16 traits were estimated using the above formula, as shown in Table 2.
6. GAP Model Establishment and Testing
The above 16 traits were applicable to 5 GAP prediction models, respectively.
The above GAP models were tested by simulation selection. Selection accuracy, selection efficiency and selection progress are shown in Table 5.
In March, 2020, genomics-assisted prediction was conducted on 16,214 hybrid progenies of 13 apple cross combinations configured from 2016 to 2018 using the above AppleGAP v2.0 chip. The hybrid progenies of the batch were planted in Qianzhujiantuo Village, Beidaihe New District, Qinhuangdao City, Hebei Province. The hybrid progenies were self-rooted seedlings of 2-4 years old, and a planting density was 0.6×0.2. When sampling the leaf samples required for AppleGAP v2.0 testing, the seedling height was 2.0 m. 6 leaf discs were made using a 0.5 cm hole punch, placed in a 96-well plate, and marked; after fully filled, the 96-well plate was placed in a plastic bag pre-filled with 10 g of blue silica gel, tied and sealed. After 3 days, the leaf discs were naturally dried. The 96-well plate were taken out of the plastic bag, a soft latex cover was added, and sent to the company for DNA extraction, microarray testing and genotyping. After obtaining genotype data of all the markers, the genotype data was substituted into GAP models of each trait, and the system automatically calculated GPV values. Assisted-selection of the following traits was conducted based on GPV value. The selection criteria were as follows: the fruit ripening date was late maturity (170-185 DAFB), the fruit weight was 100-250 g, the fruit cover color degree was not less than 70%, the fruit sugar content was not less than 14.5%, the fruit malate content was 3.0-10.0 mg/mL, the fruit chlorogenate content was not more than 1.0 mg/g, the firmness and crispness of frozen flesh were maintained for more than 5 months, and there was Glomerella leaf blotch resistance. According to the above selection criteria, 77 excellent individual plants were selected from 16,214 seedlings, with a selection rate of 0.475% and a theoretical selection efficiency of 9.38%. It was expected that 7 new cultivars that meet the above selection criteria may be selected (Table 6).
In May 2020, genomisc-assisted prediction was conducted on 3,404 hybrid progenies of 4 apple cross combinations configured in 2019 using the above AppleGAP v2.0 chip. AppleGAP v2.0 detection method and trait selection criteria were the same as in Example 1. The batch of hybrid seedlings was sown in a 32-hole plug in March 2020, and leaf samples were detected using the AppleGAP v2.0 chip in April, 2020. At that time, the seedlings consisted of 4 true leaves. One true leaf was taken with a sampling method the same as that in Example 1. According to the above selection criteria, 11 excellent individual plants were selected from 3,404 seedlings, with a selection rate of 0.323% and a theoretical selection efficiency of still 9.38%. It was expected that one new cultivar that meet the above selection criteria may be selected.
In February 2021, assisted-selection of hybrid parental materials was conducted using the AppleGAP v2.0. A new apple cultivar ‘Zhongnong 101’ was a new late-maturing, disease-resistant and storage-resistant cultivar bred by cross breeding in the laboratory. The parental material combination was ‘Zisai Mingzhu’בRed Fuji’. ‘Zhongnong 101’ matures in late October. The field incidence rate of major diseases apple rot, apple ring rot and apple early defoliation diseases of the ‘Zhongnong 101’ are significantly lower than that of main planted cultivars such as ‘Red Fuji’. But the ‘Zhongnong 101’ has fruit weight of 97 g, a relatively small fruit weight, and a hard but non-crisp flesh. It was planned to use ‘Zhongnong 101’ as one of the parental materials to configure a cross combination to select new cultivars with large fruit, red appearance, storage resistance and Glomerella leaf blotch resistance.
(1) Cultivars with large fruit shape and red appearance: genotyping was conducted on all 319 markers of apple germplasm resources using the Apple GAP v2.0. Through genotyping, an optimal cross combination was selected as ‘Zhongnong 101’ב66-014’. ‘66-014’ is an excellent hybrid progeny of ‘Red Tsugaru’בRed Fuji’. The major gene markers of the coloring degree of the two cultivars are all heterozygous genotypes, such that a selection rate of the single plant of the whole red fruit of the hybrid progeny is 1/4. The parental materials are resistant to Glomerella leaf blotch, such that the hybrid progenies are all resistant to diseases. The genotypes of the major markers S2987 and XDY160 for the fruit weight of ‘Zhongnong 101’ are all heterozygous, while all the major markers for the fruit weight of ‘66-014’ are homozygous for large fruit. Therefore, a selection rate of the hybrid progeny with large fruit type is 1/4. The four main markers for the flesh crispness retainability trait are all 1:1-separated in the hybrid progeny, such that a selection rate of flesh crispness and storage durability is 1/16. In summary, the selection rate of this cross combination is 1/256, and the scale of the hybrid population can be greater than 256. This cross combination was subjected to field pollination hybridization from Apr. 21-24, 2021.
(2) Cultivars with storage durability and red fruit cover: after Apple GAP v2.0 genotyping, an optimal cross combination was selected as ‘Zhongnong 101’ב17-199’. ‘17-199’ is a full sibling line of ‘Zhongnong 101’. The major gene markers of the coloring degree of the two cultivars are all heterozygous genotypes, such that a selection rate of the single plant of the whole red fruit of the hybrid progeny is <1/4. The parental materials are resistant to Glomerella leaf blotch, such that the hybrid progenies are all resistant to diseases. The genotypes of the major markers S2987 and XDY160 for the fruit weight of ‘Zhongnong 101’ are heterozygous, while the major markers S2987, S4161 and XDY160 for the fruit weight of ‘17-199’ are all heterozygous genotypes. Therefore, a selection rate of the hybrid progeny with large fruit type is 1/32. Three in the four main markers for the flesh crispness retainability trait are all 1:1-separated in the hybrid progeny, such that a selection rate of flesh crispness and storage durability is 1/8. In summary, the selection rate of this cross combination is 1/1024, and the scale of the hybrid population can be greater than 1024. This cross combination was subjected to field pollination hybridization from Apr. 21-24, 2021.
The above descriptions are merely preferred implementations of the present disclosure. It should be noted that a person of ordinary skill in the art may further make several improvements and modifications without departing from the principle of the present disclosure, but such improvements and modifications should be deemed as falling within the protection scope of the present disclosure.
| Number | Date | Country | Kind |
|---|---|---|---|
| 202110965711.2 | Aug 2021 | CN | national |