Crop genome sequencing reads genetic information; traditional plant breeding is the process of crossing, growing, evaluating, and selecting plants to develop varieties. Sequencing can help breeders choose which plants to advance, but it does not replace breeding or field evaluation. Its value depends on the crop, the trait, the data available, and how well genetic predictions hold up in the environments where a variety must perform.
Sequencing is a tool; breeding is the process
Genome sequencing determines the order and arrangement of genetic material. It can reveal differences among plants, support discovery of DNA markers associated with traits, and provide information for models that predict breeding value. By itself, however, sequencing does not cross plants, establish that a crop performs well, or produce a new variety.
As an Amazon Associate I earn from qualifying purchases.
Plant breeding has a practical goal: develop plants with combinations of characteristics suited to particular uses and growing conditions. Breeders may cross plants and select among their descendants, or use other crop-appropriate methods. They evaluate plants against breeding objectives, using observable traits—such as yield, quality, or resistance—and the history of the breeding material. The exact methods differ by crop and cultivar type.
Doreen Ware, a computational biologist at the USDA Agricultural Research Service’s Robert W. Holley Center for Agriculture & Health, described sequencing as a way to study how plants grow and adapt and “to guide the way that we breed plants.” That distinction captures the relationship: genetic information can inform decisions in a breeding program, while selection and evaluation remain essential parts of the program.
#1 Best Overall
- Read Before You Buy — No Video Output: These adapters support charging and USB 2.0 data transfer, but cannot transmit video signals. Except for standard USB webcams (which use USB data only), they are not compatible with HDMI/DisplayPort cables, video-capable USB-C hubs, or docking stations with video output.
- Convert USB-A Ports to USB-C: Designed to connect USB-C earphones, cables, flash drives, card readers, and other USB-C accessories to standard USB-A ports. Plug-and-play with no drivers or software required.
- Aluminum Alloy Housing: Built with a sturdy aluminum alloy shell that aids in heat dissipation and protects against daily wear and scratches. Designed to maintain a stable and secure connection.
- Compact & Travel-Friendly: The ultra-compact design allows the adapter to stay plugged into your device without blocking adjacent ports or adding bulk, reducing wear and tear on your original USB ports.
- 12-Month Warranty: Backed by a 12-month manufacturer warranty for peace of mind. Designed to meet strict quality control standards for reliable everyday performance.
How the approaches differ
| Question | Traditional breeding | Sequencing-informed selection |
|---|---|---|
| What information guides choices? | Observed plant traits, breeding history, and program goals | DNA markers or sequence-derived genotypes, often alongside observed traits and data from a training population |
| How are candidates selected? | Plants or families are advanced based on observed performance and breeding objectives | Marker-assisted selection tracks markers associated with chosen traits; genomic selection uses genome-wide markers in prediction models |
| Where can it help? | Directly evaluating the plants and environments relevant to the program | Traits that are difficult to screen and complex traits influenced by many genes; it may also shorten selection cycles in a suitably supported program |
| What does a program still need? | Appropriate trait evaluation, including evaluation across environments where needed | Reliable genotyping, suitable reference or training data, predictive models, and phenotype-based validation |
| What affects cost and complexity? | Field-program costs and time, which vary by crop and program | Genotyping or sequencing and analysis costs, which vary by crop genome, sample scale, method, and required information |
There is no established universal cost winner. The comparison depends on the crop and on what a breeding program is trying to measure. A DNA assay may reduce some field screening, for example, but still require reliable genotyping, data analysis, and evaluation of plants in relevant conditions.
Three approaches that are easy to confuse
Traditional selection and crossing
In conventional breeding, selection is based substantially on the characteristics breeders can observe in plants and on whether those characteristics meet program goals. Crossing can combine characteristics from different parents; subsequent selection and evaluation identify promising plants or families. Field evaluation is not simply an old alternative to genetic information: it measures the crop’s actual observable performance, which is the outcome the breeding program ultimately cares about.
Marker-assisted selection
Marker-assisted selection (MAS) uses DNA markers associated with particular traits to help identify plants carrying desired alleles. Rather than waiting to observe a trait in every candidate, a breeder can use a marker as an indicator when the association is reliable for the material being selected.
MAS can be especially useful when screening a trait is difficult or impossible. The FAO background paper gives pest- or disease-resistance screening as examples of situations in which marker information may help. MAS focuses on selected markers associated with chosen traits; it is not the same as measuring every genetic difference or predicting an entire plant’s performance.
Rank #2
- 5-in-1 USB-C Hub: Experience comprehensive connectivity featuring a Power Delivery input, two USB-A 2.0 ports, a USB-A 3.0 port, and an HDMI port. (Note: The USB-C power delivery input port is only for connecting an external wall charger to power your laptop and cannot power peripheral devices.)
- 90W Pass-Through Charging: Achieve optimal charging with 90W pass-through power to your laptop, supported by a total input of 100W, with the hub reserving 10W for operational efficiency. (Note: Wall charger not included.)
- Quick Data Transfers: Accelerate your productivity with rapid data transfers using a high-speed 5Gbps USB 3.0 port and two 480Mbps USB 2.0 ports.
- 4K HDMI Display: Enhance your visual experience with a hub capable of delivering 4K resolution at 30Hz in both mirror and extend modes. Please note that this hub is compatible with MacBook (macOS 12 and newer), Windows 10 and 11, ChromeOS, and laptops equipped with DP Alt Mode and Power Delivery. Note: This device is not compatible with Linux.
- What You Get: Anker USB-C Hub (5-in-1, 4K HDMI), welcome guide, 18-month warranty, and our friendly customer service.
Genomic selection
Genomic selection (GS) uses marker information distributed across the genome in statistical models to estimate a candidate’s breeding value or likely performance. It is designed to support selection for complex traits—such as yield or stress tolerance—that may be influenced by many genes, each with a small effect. A strategy that concentrates on a few known loci may not capture enough of that distributed genetic signal.
GS predictions depend on data, not on the word “genomic.” A program needs genotyped plants and phenotype observations suitable for developing and applying a model. The model’s usefulness depends on how well those data represent the candidates and the breeding context in which predictions will be used. A 2011 review by Lorenz and colleagues describes a range of 200 to 10,000 markers and observations in the context of typical crop GS requirements. That range is contextual, not a universal recipe: an effective design depends on factors including the genetic map and effective population size.
Genome sequencing
Sequencing produces information about genetic sequence and its arrangement. It can support the discovery of markers, the study of genetic variation, or the genotypes used in genomic prediction. “Sequencing” alone does not specify whether a breeding program uses MAS, GS, or another approach, and it does not promise that a new variety will result. Some methods use targeted sequencing or other genotyping approaches rather than sequencing every part of every candidate’s genome.
Quick wins for a faster PC:
Repair Windows errors before they cause bigger problemsFix Now →Scan for outdated or missing drivers - takes under a minuteDriver Scan →Can sequencing make crop breeding faster?
It can help shorten selection cycles under suitable conditions, but it does not make breeding faster in every crop or program. The potential advantage is that breeders may make useful selections using genetic information before every candidate has completed all the evaluations that would otherwise be needed at that stage. That can improve gain per unit time when the prediction is accurate enough, the data are suitable, and the program can use the result to advance better candidates.
Rank #3
- Sleek 7-in-1 USB-C Hub: Features an HDMI port, two USB-A 3.0 ports, and a USB-C data port, each providing 5Gbps transfer speeds. It also includes a USB-C PD input port for charging up to 100W and dual SD and TF card slots, all in a compact design.
- Flawless 4K@60Hz Video with HDMI: Delivers exceptional clarity and smoothness with its 4K@60Hz HDMI port, making it ideal for high-definition presentations and entertainment. (Note: Only the HDMI port supports video projection; the USB-C port is for data transfer only.)
- Double Up on Efficiency: The two USB-A 3.0 ports and a USB-C port support a fast 5Gbps data rate, significantly boosting your transfer speeds and improving productivity.
- Fast and Reliable 85W Charging: Offers high-capacity, speedy charging for laptops up to 85W, so you spend less time tethered to an outlet and more time being productive.
- What You Get: Anker USB-C Hub (7-in-1), welcome guide, 18-month warranty, and our friendly customer service.
A 2010 analysis by Heffner, Lorenz, Jannink, and Sorrells, recorded by USDA ARS, compared equal-budget modeled strategies for a high-investment maize program and a low-investment winter-wheat program. In those scenarios, genomic selection could outperform marker-assisted selection in gain per year through a shorter breeding cycle. This is a modeled comparison under specified program assumptions, not a guarantee for maize, wheat, or other crops generally.
Prediction accuracy is a central condition. If a model does not predict performance well for the plants or environment at hand, selecting candidates based on it may not produce the expected gain. Genomic selection therefore depends on an appropriate population, sufficient relevant marker and observation data, and validation against phenotypes. It should be viewed as a way to make some selection decisions more informed or earlier—not as a shortcut that makes observation unnecessary.
Why field evaluation still matters
A plant’s DNA is not a complete account of how it will perform under every growing condition. Breeding goals concern observable characteristics in particular production systems and for particular end uses. Field evaluation tests whether selected plants actually meet those goals. It also helps reveal when a marker association or model prediction does not translate into the desired result in the material being grown.
The Tool Desk
Outbyte PC Repair FREEClear out junk files and repair common Windows errorsFree Scan →Outbyte Driver Updater FREEScan for outdated or missing drivers - takes under a minuteDriver Scan →The FAO background paper notes that MAS can expand a breeding program’s scope and efficiency and reduce some time-consuming field evaluation. It also warns that a narrow reliance on marker selection can sacrifice holistic progress made through phenotypic selection. A variety selected too narrowly may be vulnerable to future changes in climate, production systems, or end use. The practical implication is not that markers should be avoided; it is that genetic selection and phenotype-based evaluation answer different questions and should be combined where the program’s aims require both.
Rank #4
- Dual Converters, Infinite Potential：Includes 2× USB C male to USB A female adapters and 2× USB A male to USB C female adapters. Perfect for a wide range of uses—tablets with Bluetooth keyboards, expand USB ports on macbook, and more. Two different converters for all your daily needs
- Next-Level 10Gbps & 3A Charging: No more slow 480Mbps, this usb to usb c adapter has a transfer speed of up to 10Gbps, allowing you to do more transferring in less time. This usb adapter fits both USB A and USB C charger, supporting up to 3A fast charging
- Upgraded Exquisite Craftsmanship: With an aluminum alloy housing and metal connector, the usbc to usb adapter is extremely durable and sturdy. Rigorously tested to withstand more than 10,000 times of plugging and unplugging, ensuring long-lasting performance
- Broad Compatible: The usb c to usb adapter widely supports all USB C/ USB A devices like laptops, tablets, cellphones, car chargers, and phone chargers. Such as compatible with MacBook Pro/Air 2023/2022, Thunderbolt 4/3 Devices,Apple MagSafe Watch 9/8/7/SE/Ultra, iPad Pro 2022/2021, Samsung Galaxy S23/S20/S10, and iPhone 17/16/15 Pro. Plug and play
- Please Note: To reach 10Gbps speed, keep the cable under 3.3 ft. For USB A Male to USB C adapters, try flipping the USB C connector. USB C Male to USB A adapters support bidirectional 10Gbps transfer within 3.3 ft
- Use marker information to select for traits when the marker-trait relationship is useful for the target breeding material.
- Use genome-wide predictions when the program has suitable data for a complex-trait model.
- Evaluate the resulting plants for actual performance and the intended growing conditions and uses.
Why crop genome structure changes the approach
Crop genomes differ in size and complexity, so a method that is practical for one crop may not transfer directly to another. In a USDA ARS interview, computational biologist Doreen Ware described wheat as hexaploid and corn as having a history of genome duplication; the interview also described more than 80% of corn’s genome as mobile elements. These details are context for why crop genomics can pose different challenges, not a claim that one crop is inherently easier or more valuable to breed.
Wheat as a sequencing-method example
A 2023 paper by Wang and colleagues in The Plant Genome, summarized in a USDA ARS record, describes wheat’s genome as 16 Gb, with approximately 85% repetitive material. The authors developed skim exome capture, a targeted sequencing-based genotyping method. They report a repeatable approach that can scale to a desired price point and costs less per sample than the traditional resequencing and capture approaches they discuss.
The study identifies downstream applications including quantitative trait locus (QTL) mapping, genome-wide association studies, and genomic selection. Its result is specific to the described method and study. It is not a quoted commercial service price, nor does it establish a current cost for sequencing all wheat genomes. For a breeding program, the useful lesson is that the choice of genotyping method should fit the crop’s genome, the information required, and the number of samples.
Do these 3 things before closing this tab:
1Scan for outdated or missing drivers - takes under a minute2Repair Windows errors before they cause bigger problems3Fix the driver behind crashes, sound loss and screen glitchesWhat sequencing costs—and what the available figures do not mean
Sequencing and genotyping costs depend on the crop genome, method, scale, and depth or type of information required. A breeding program also needs capacity to analyze genetic data and connect it to useful phenotype observations. On the traditional side, field programs require time and resources too. The available evidence does not support a general claim that sequencing is always cheaper than field-based selection or that it removes field costs.
Best Value
- 5-in-1 Connectivity: Equipped with a 4K HDMI port, a 5 Gbps USB-C data port, two 5 Gbps USB-A ports, and a USB C 100W PD-IN port. Note: The USB C 100W PD-IN port supports only charging and does not support data transfer devices such as headphones or speakers.
- Powerful Pass-Through Charging: Supports up to 85W pass-through charging so you can power up your laptop while you use the hub. Note: Pass-through charging requires a charger (not included). Note: To achieve full power for iPad, we recommend using a 45W wall charger.
- Transfer Files in Seconds: Move files to and from your laptop at speeds of up to 5 Gbps via the USB-C and USB-A data ports. Note: The USB C 5Gbps Data port does not support video output.
- HD Display: Connect to the HDMI port to stream or mirror content to an external monitor in resolutions of up to 4K@30Hz. Note: The USB-C ports do not support video output.
- What You Get: Anker 332 USB-C Hub (5-in-1), welcome guide, our worry-free 18-month warranty, and friendly customer service.
Ware’s USDA ARS interview gives a historical comparison: maize genome sequencing cost more than $50 million fifteen years before the interview and was as low as $1,000 at the time of that interview. The page does not show the interview’s publication date, so those amounts should not be treated as current prices or assigned a guessed calendar year. They illustrate a historical change in sequencing costs, not the price a breeder would pay today for a particular crop-genotyping service.
Likewise, the wheat study’s cost comparison is relative to the resequencing and capture approaches considered by its authors. It does not provide a universal per-sample market rate. To assess a real program, costs must be considered alongside sample count, method, required information, analysis, and the field work still needed to evaluate outcomes.
How to decide whether a breeding program can use sequencing
The useful question is not whether sequencing is more modern than traditional breeding. It is whether a particular kind of genetic information can improve a specific selection decision enough to justify collecting and analyzing it.
Free tools Windows power users keep installed
One-click scans. No signup required.
- Define the breeding objective. Specify the trait or combination of traits, the target crop material, and the intended production conditions or end use. A selection method is only useful relative to a goal.
- Choose the genetic approach that matches the trait. If a useful marker is associated with a particular trait, MAS may help identify candidates. If the goal concerns a complex trait shaped by many genes, GS may be relevant if suitable genome-wide data and prediction models are available.
- Check whether the data fit the candidates. Prediction relies on appropriate marker and phenotype observations. Consider whether the reference or training data represent the plants and breeding context to which the model will be applied.
- Match the genotyping method to the crop and scale. Genome structure, number of samples, and the amount of genetic information needed affect method choice and cost. The wheat skim-exome example shows why targeted approaches may be considered for a crop with a large, repetitive genome.
- Validate with phenotype evaluation. Test whether selected candidates show the desired characteristics in relevant environments. Use those observations to judge the practical value of genetic predictions and inform further selection.
Sequencing is not the same as genetic engineering
The approaches described here concern reading genetic information and using it to guide selection. Sequencing can help breeders identify variation or choose plants; those activities do not, by themselves, describe a method for engineering a plant’s genome. The evidence discussed here addresses sequencing, markers, genomic prediction, and breeding—not the safety or regulatory status of engineered crops, which is a separate question.
The practical distinction
Traditional breeding evaluates plants and selects for desired characteristics. Sequencing supplies genetic information that can sharpen some of those choices, through marker-assisted selection or genome-wide prediction. Its strongest case is not “DNA instead of fields,” but a well-supported breeding program in which genetic data help select candidates and phenotype evaluation confirms whether the plants perform as intended.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
