Hunt Institute for Botanical Documentation
A Research Division of Carnegie Mellon University

Hunt Institute Archives Text Discovery Platform

Search a large and growing portion of our online collections, including handwritten documents.
PROTOTYPE

This prototype uses state-of-the-art artificial intelligence, including a vision-language model (VLM) capable of reading handwritten documents as well as typed and printed text, to create searchable transcriptions of digitized materials in the Hunt Institute Archives. This makes it possible to search the textual contents of individual pages, including material that may not be described in the archival catalog.

Use Keyword search for specific words, names, dates, scientific names, or phrases. Try Semantic search (experimental) to describe a topic, question, or kind of material when you do not know the exact wording used in the documents.

About the AI-generated transcriptions

The transcriptions are generated automatically from page images and may contain errors, especially with difficult handwriting, unusual names, multiple languages, image-quality problems, or complex layouts. They are intended primarily as a discovery aid rather than authoritative transcriptions.

Each result provides the generated transcription and links to the original digitized material and associated archival description so that readings can be checked against the source. The transcription workflow uses AI models run locally by the Hunt Institute.

About Keyword and Semantic search

Keyword search is the default and matches the wording in the transcriptions. Results contain all your terms. Use quotes for an exact phrase. Substring matching is supported, so aceae can find plant-family names ending in -aceae.

Semantic search (experimental) is useful when you know what kind of material you are looking for but do not know the words used in the documents. It ranks transcribed passages by similarity of meaning, so relevant results may not contain the exact words in your query.

Semantic queries can be broad research topics, descriptions of activities or relationships, or natural-language questions. For example:

Semantic search is not a chatbot: a question is used as a search query, and the system returns archival passages that appear conceptually related to it rather than generating an answer or summary. Short descriptions and ordinary research questions generally work better than lists of disconnected keywords. Quotation marks have no special meaning in Semantic mode. Cross-language matching may work in some cases, but it should not be treated as translation.

Keyword and Semantic search are complementary. Keyword search lets you require particular wording; Semantic search can surface differently worded passages about the same subject. Depending on the research question, trying both can reveal different useful material.

Open a result: use the prominent page-and-transcription link to see the metadata, PDF, and full transcription. Keyword-search terms are highlighted in the transcription.

Archives Collections Database (ArchivesSpace): the Collection, Item/Folder, and Digital Object links open the corresponding archival records. Collection-level dates describe the collection as a whole, not necessarily the specific item or page.

If a PDF does not load: on the detail page, use the Digital Object link, click “Go to file” in ArchivesSpace, and navigate to the page number shown here.

Current limitations
  • Automated transcriptions can contain missing or incorrect text or unintended repetition. Difficult handwriting, image quality, unusual layouts, and multiple languages can reduce accuracy. Always consult the original page image when an exact reading matters.
  • Semantic search remains experimental. Its rankings are an additional discovery aid, not a complete or definitive set of relevant results, and highly ranked pages can sometimes be only broadly related.
  • This is an active prototype. Search coverage, transcriptions, functionality, and the interface may continue to change as additional archival material is processed and the system is improved.

← Back to results

Page 44 · DO #961 · 319_Love_Bx1FF6r

Collection
Áskell Löve (1916–1994) papers
Item/Folder
"Outlines for Books and Articles to be Published but Never Completed" (2 of 3) , 1969, n.d.
Digital Object
DO #961, page 44
Collection-level dates
1950–1987
Open PDF at page 44 ↗

Page transcription

10.

The deleterious effect of aneuploidy is most pronounced when
the absolute chromosome number is low, and it grows weaker with
increased polyploidy.

In species with high chromosome numbers, there is often a certain
resilience around that high number without any distinct effect. In plant
species with high basic numbers, the sensitivity to aneuploidy is also less pronounced.
This is probably caused by that the high basic numbers (13: Pogonias,
17: Pauridaceae) are actually polyploid, so the plants are secondary polyploids
(Delgigny & Meggitt 1928). Examples other Drosophila species, L=28 x=14; for e.g. B. megastigma 2
Agricoleplidy: Lepidoptera, Coleoptera, insects.

B-chromosomes:

Everything that has been said so far about chromosomes has demonstrated
that these bodies are indispensable for living organisms. Strangely enough, there are
also chromosomes that have been found to be indifferent or even deleterious
in their effects.

In papers published in 1927 and 1928, A.E. Langley & H.F. Randolph
reported the occurrence of what they called B-chromosomes in corn.
This designation was used for a kind of small chromosomes that occurred
in varying numbers in some individuals of corn in addition to the ordinary
chromosome complements. All normal corn plants have 20 so-called A-chromosomes,
and alterations in the number or structure of these chromosomes have just as
acute effects as in Drosophila and Datura. The B-chromosomes, on the other
hand, are only present in some corn plants, and occur in varying frequencies
in different strains. Plants without B-chromosomes have quite normal properties,
and there is no evidence that the plants containing B-chromosomes are in any way
superior to plants without B-chromosomes. On the contrary, it is clear that
plants with many B-chromosomes are weaker and less fertile than other plants.
This effect, however, will not be obvious when the number of B-chromosomes is fairly large.
This number may range from one to more than 20. An interesting property
of the B-chromosomes in corn is that they are heterochromatic, i.e., they have
rather sticky surfaces and stain somewhat differently from A-chromosomes.

Before the discovery of B-chromosomes in corn, rye plants in different
countries were observed to have 16 instead of 14 chromosomes. The latter
number is the normal one, and at the outset it was assumed that the increase
from 14 to 16 was due to a transverse division one of the ordinary rye chromosomes.
However, from investigations by Jorgensen & Rasmussen, it became gradually clear
that the 16 chromosome type carries two supernumerary chromosomes - quite
specific type, and also that these supernumerary chromosomes behave in a deviating
way during the first mitosis of the pollen grains.